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+source,Task,keyword,title,venue ,url,year,Dataset (Yes/No),Dataset_name,Dataset_size,source,Lexicon (Yes/No),Demographics (Yes/No),"Multimodal (text, audio, image)",labels ,"task (binary, multiclass, multilabel)",Notes,Dataset,annotator info
+arxive,EA, persian emotion,"Sentiment Analysis of Persian Language: Review of Algorithms, Approaches and Datasets",arxive,https://arxiv.org/pdf/2212.06041,2022,no,,,"review movies, Digikala, Persian Snapp Food reviews, Twitter",no,no,text,"sentiment [posive, negative], human-labeled (an integer between -2 to +2), emotion [happy, sad, hopeless, hopeful, angry, apathy, others]",multiclass,"survey on e 40 different approach sentiment analysis in the Persian Language, analysis datasets, Table 2 in paper is all the datasets and descriptions together.",not avaiable,
+arxive,EA, persian emotion,Persian Slang Text Conversion to Formal and Deep Learning of Persian Short Texts on Social Media for Sentiment Classification,arxive,https://arxiv.org/abs/2403.06023,2024,yes,,,"news, instagram comments, mvie subtitles, tweets",no,no,"text, speech","sentiment [positive, neutral. negative]",multiclass,,not avaiable,
+arxive,EA, persian emotion,A Large-Scale Analysis of Persian Tweets Regarding Covid-19 Vaccination,arxive,https://arxiv.org/abs/2302.04511,2024,yes,,,Twitter,no,yes,text,"emotion [ happiness, anger], polarity [Vaccine-Critical, Neutral, Vaccine-Support]",binary,"comprehensive analysis of public opinion in Iran about the Coronavirus vaccins. They created two datasets, one with lemmatization (LEM) and the other without it (N-LEM), to compare the impact of lemmatization on topic modeling results and subsequent steps. ",not avaiable,
+arxive,EA, persian emotion,ShEMO -- A Large-Scale Validated Database for Persian Speech Emotion Detection,arxive,https://arxiv.org/abs/1906.01155,2019,yes,,,Shemo Dataset,no,yes,"text, speech","emotion [anger, fear, happiness, sadness and surprise, neutral]
+state",multiclass,,not avaiable,
+arxive,EA, persian emotion,A Persian ASR-based SER: Modification of Sharif Emotional Speech Database and Investigation of Persian Text Corpora,arxive,https://arxiv.org/abs/2211.09956,2022,yes,shemo,3000,radio plays,no,yes,"text, speech","emotion [anger, fear, happiness, sadness, surprise and neutral]",multiclass,"""They fixed the inconsistencies in Shemo dataset and Persian/Farsi ASR-based SER system that uses linguistic features of the ASR outputs and Deep Learning-based models.""",avaiable,
+arxive,EA, persian emotion,Persian Emotion Detection using ParsBERT and Imbalanced Data Handling Approaches,arxive,https://arxiv.org/abs/2211.08029,2022,no,,,Twitter,no,no,text,"emotions (Anger, Fear, Happiness, Hatred, Sadness, Wonder)",multiclass,"They works with EmoPars and ArmanEmo datasets and add data augmentation techniques, data re-sampling, and class-weights with Transformer-based Pretrained Language Models(PLMs) to handle the imbalance problem of these datasets",not avaiable,"yes [gender, age]"
+arxive,EA, persian emotion,ArmanEmo: A Persian Dataset for Text-based Emotion Detection,arxive,https://arxiv.org/abs/2207.11808,2022,yes,ArmanEmo,7000,Twitter,no,no,text,"emotions (Anger, Fear, Happiness, Hatred, Sadness, Wonder)",multiclass,Human labled dataset,avaiable,no
+arxive,EA, persian emotion,Emotion Recognition In Persian Speech Using Deep Neural Networks,arxive,https://arxiv.org/abs/2204.13601,2022,no,,,Shemo Dataset,no,yes,"text, speech","emotion [happy, sad, hopeless, hopeful, angry, apathy, others]",multiclass,They use signal features in low- and high-level descriptions and different deep neural networks and machine learning techniques on Shemo dataset for speech emotion recognition,-,
+arxive,EA, persian emotion,Political Sentiment Analysis of Persian Tweets Using CNN-LSTM Model,arxive,https://arxiv.org/abs/2307.07740,2023,no,,,Twitter,yes,no,text,"sentiment [positive, neutral. negative], emotion [happy, sad, hopeless, hopeful, angry, apathy, others]",multiclass,analysis sentiment of Persian political tweets,-,
+arxive,EA, persian emotion,Persian Speech Emotion Recognition by Fine-Tuning Transformers,arxive,https://arxiv.org/abs/2402.07326,2024,no,,,shemo dataset with new models,no,no,"text, speech","emotion [happy, sad, hopeless, hopeful, angry, apathy, others]",multiclass,"They looked to the impact
+of cross-lingual learning ",-,
+aclanthology,EA,emotion classification data set persian,Emotion Analysis of Tweets Banning Education in {A}fghanistan,aclanthology,https://aclanthology.org/2023.wassa-1.24,2023,yes,LetHerLearn,7600,Twitter,yes,no,text,"emotion [anger, fear, happiness, sadness, surprise and neutral]",multiclass,Tweets about ban of education in Afghanestan for women.,avaiable,
+aclanthology,EA,emotion detection data set persian,Irony Detection in {P}ersian Language: A Transfer Learning Approach Using Emoji Prediction,aclanthology,https://aclanthology.org/2020.lrec-1.346,2020,no,,,Twitter,no,no,text,"irony, not-irony",binary,Persian speakers use irony more often due to the language’s nature and some cultural reasons,not avaiable,
+aclanthology,EA,emotion detection data set persian,{E}mo{P}ars: A Collection of 30{K} Emotion-Annotated {P}ersian Social Media Texts,aclanthology,https://aclanthology.org/2021.ranlp-srw.23,2021,yes,EmoPars,30000,Twitter,no,no,text,"emotion [anger, fear, happiness, sadness, wonder and hatred]",multilable,each emotion is presented by a integer number between 0-5,avaiable,
+arxive,EA,farsi emotion,From Words and Exercises to Wellness: Farsi Chatbot for Self-Attachment Technique,arxive,https://arxiv.org/pdf/2310.09362,2024,yes,SAT,"5,600",conversations with chatbot,no,yes,text,"emotions: Happy, Angry, Anxious, Ashamed, Disappointed,
+Disgusted, Envious, Guilty, Insecure, Loving, Sad, and Jealous",multiclass,"They have a good selection of empathy, generation, sematic, and similar questions of persian conversations with chatbots ",avaiable,
+arxive,SA,persian sentiment,SentiPers: A Sentiment Analysis Corpus for Persian,arxive,https://arxiv.org/abs/1801.07737,2018,yes,SentiPers,"15,683",Digikala,no,no,text,"sentiment {−2, −1, 0, +1, +2} ",multiclass,"They create a sentiment corpus, SentiPers which covers formal and informal written contemporary Persian.",avaiable,
+arxive,SA,persian sentiment,LexiPers: An ontology based sentiment lexicon for Persian,arxive,https://arxiv.org/pdf/1911.05263,2019,no,,,-,yes,no,text,"sentiment [positive, neutral. negative]",multiclass,"They describe the process of generating a general purpose sentiment lexicon for
+Persian",-,
+arxive,SA,persian sentiment,Pars-ABSA: an Aspect-based Sentiment Analysis dataset for Persian,arxive,https://arxiv.org/abs/1908.01815,2019,yes,,,Digikala,no,no,text,"sentiment [positive, neutral. negative], aspect-based sentiment analysis",multiclass,They collect a dataset and perform the task of sentiment analysis and aspect-based SA.,-,
+arxive,SA,persian sentiment,A novel approach to sentiment analysis in Persian using discourse and external semantic information,arxive,https://arxiv.org/abs/2007.09495,2020,yes,,,Hotel reviews: booking.ir. ,no,no,text,"sentiment [positive, neutral. negative]",multiclass,,-,
+arxive,SA,persian sentiment,ParsBERT: Transformer-based Model for Persian Language Understanding,arxive,https://arxiv.org/abs/2005.12515,2020,no,,,,no,no,text,,-,Monolingual BERT for the Persian language (ParsBERT),-,
+arxive,SA,persian sentiment,DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus,arxive,https://arxiv.org/abs/2004.05328,2020,yes,,,,no,no,text,"emotion [happy, delighted, furious, angry, neutral] sentiment [yes, no]",binary and multiclass.,"A balanced and augmented version of SentiPers, contains 12,138 user opinions about digital products labeled with five different classes; two positives (i.e., happy and delighted), two negatives (i.e., furious and angry) and one neutral class. ",-,
+arxive,SA,persian sentiment,Convolutional Neural Networks for Sentiment Analysis in Persian Social Media,arxive,https://arxiv.org/abs/2002.06233,2020,no,,,social media,no,no,text,-,-,The paper is written in persian.,-,
+arxive,SA,persian sentiment,"A Survey on sentiment analysis in Persian: A Comprehensive System Perspective Covering Challenges and Advances in Resources, and Methods",arxive,https://arxiv.org/abs/2104.14751,2021,no,,,,no,no,text,-,-,"Also, a survey of sentiment analysis in persian.",-,
+arxive,SA,persian sentiment,SINA-BERT: A pre-trained Language Model for Analysis of Medical Texts in Persian,arxive,https://arxiv.org/abs/2104.07613,2021,no,,,Persian medical questions answered by professional physicians for the task of question retrieval,no,no,text,-,-,Language model for clinical texts in persian. ,-,
+arxive,SA,persian sentiment,A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis,arxive,https://arxiv.org/abs/2103.02636,2021,no,,,YouTube,no,no,"acoustic, visual and textual",sentiment [positive. negative],binary,,-,
+arxive,SA,persian sentiment,Sentiment Analysis of Persian-English Code-mixed Texts,arxive,https://arxiv.org/abs/2102.12700,2021,yes,Persian-English Code-mixed ,"3,640",Twitter,no,no,text,"sentiment [positive, neutral. negative]",multiclass,"They collect, label and create a dataset of Persian-English code-mixed tweets. Then they introduce a model which
+uses BERT pretrained embeddings as well as translation models to automatically learn the polarity scores.",avaiable,
+arxive,SA,persian sentiment,"The Challenges of Persian User-generated Textual Content: A Machine Learning-Based Approach
+",arxive,https://arxiv.org/abs/2101.08087,2021,yes,,,Rotten Tomatoes,no,no,text,sentiment [positive. negative],binary,They use a machine translated dataset from English to Persian.,-,
+arxive,SA,persian sentiment,Utilizing distilBert transformer model for sentiment classification of COVID-19's Persian open-text responses,arxive,https://arxiv.org/abs/2212.08407,2022,yes,,,The data was gather from students and staff and faculties throughout their response to some questions. ,no,no,text,sentiment [positive. negative],binary,Sentiment classification of COVID-19's Persian open-text responses.,not avaiable,
+arxive,SA,persian sentiment,A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian Reviews,arxive,https://arxiv.org/abs/2201.06313,2022,no,,,social media,no,no,text,"sentiment [positive, neutral. negative]. Aspects.","binary, multiclass. Aspect and Polarity Classification.","They propose an ensemble of multi-task deep convolutional neural
+networks to enhance sentiment analysis in Persian reviews.",-,
+arxive,SA,persian sentiment,Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviews,arxive,https://arxiv.org/abs/2109.07680,2022,yes,,,cinematicket.org,no,no,text,sentiment [positive. negative],binary,They create a model based on an ensemble of multi-task deep convolutional neural networks to enhance sentiment analysis in Persian reviews. They also create a datasets from movie reviews. ,-,
+arxive,SA,persian sentiment,Colloquial Persian POS (CPPOS) Corpus: A Novel Corpus for Colloquial Persian Part of Speech Tagging,arxive,https://arxiv.org/abs/2310.00572,2023,yes,,,"political, social, and commercial on Telegram, Twitter, and Instagram more than 520K labeled tokens.",no,no,text,POS tagging,multiclass,Colloquial Persian POS tagging,not avaiable,
+arxive,SA,persian sentiment,weighted CapsuleNet networks for Persian multi-domain sentiment analysis,arxive,https://arxiv.org/abs/2306.17068,2023,yes,Persian Digikala,"34,465",They use the DigiKala dataset (comments and products),no,no,text,"sentiment [positive, neutral. negative]",multiclass,New Persian/Arabic multi-domain sentiment analysis method using the cumulative weighted capsule networks approach.,avaiable,
+arxive,SA,persian sentiment,Persian Semantic Role Labeling Using Transfer Learning and BERT-Based Model,arxive,https://arxiv.org/abs/2306.10339,2023,no,,,"They use the Syntactic Valency
+Lexicon for Persian Verbs, the Persian Syntactic Dependency
+Treebank and the The Corpus of Semantic Roles of
+Persian Language.",no,no,text,"sentiment [positive, neutral. negative]",multiclass,They conduct the semantic role labeling task. It is the process of detecting the predicate-argument structure of each predicate in a sentence.,-,
+arxive,SA,persian sentiment,PRFashion24: A Dataset for Sentiment Analysis of Fashion Products Reviews in Persian,arxive,https://arxiv.org/abs/2405.18060,2024,yes,,,reviews extracted from multiple websites,no,no,text,"sentiment [positive, neutral. negative]",multiclass,A Dataset for Sentiment Analysis of Fashion Products Reviews in Persian,not avaiable,
+arxive,SA,persian sentiment,Deep Learning-based Sentiment Analysis in Persian Language,arxive,https://arxiv.org/abs/2403.11069,2024,no,,,customer review data from the Digikala Online,no,no,text,"sentiment [positive, neutral. negative]",multiclass,hybrid deep learning-based model for sentiment analysis,not avaiable,
+arxive,SA,polarity farsi,The Footprint of Campaign Strategies in Farsi Twitter: A case for 2021 Iranian presidential election,arxive,https://arxiv.org/abs/2110.09886,2021,yes,,,Twitter,no,no,text,-,-,,-,
+arxive,SA,polarity persian,Exploiting BERT to improve aspect-based sentiment analysis performance on Persian language,arxive,https://arxiv.org/abs/2012.07510,2020,no,,,,no,no,text,aspect-based sentiment analysis,multiclass,,-,
+arxive,SA,polarity persian,Discourse Analysis of Covid-19 in Persian Twitter Social Networks Using Graph Mining and Natural Language Processing,arxive,https://arxiv.org/abs/2109.00298,2021,no,,,-,no,no,text,"sentiment [positive, neutral. negative]",multiclass,,-,
+aclanthology,SA,sentiment analysis data set Farsi,Pars-{ABSA}: a Manually Annotated Aspect-based Sentiment Analysis Benchmark on {F}arsi Product Reviews,aclanthology,https://aclanthology.org/2022.lrec-1.763,2022,yes,Pars-ABSA,"10,002",Digikala,no,no,text,"sentiment [positive, neutral. negative]",multiclass,,avaiable,
+aclanthology,SA,sentiment analysis data set persian,{W}ikipedia Titles As Noun Tag Predictors,aclanthology,https://aclanthology.org/L16-1335,2016,no,,,Wikipedia titles,no,no,text,-,-,probably this is not useful for us.,not avaiable,
+aclanthology,SA,sentiment analysis data set persian,Optimizing Annotation Effort Using Active Learning Strategies: A Sentiment Analysis Case Study in {P}ersian,aclanthology,https://aclanthology.org/2020.lrec-1.348,2020,yes,MirasOpinion,"93,868",Persian e-commerce website,no,no,text,"sentiment [-1, 0, +1]",multiclass,,avaiable,
+aclanthology,SA,sentiment analysis data set persian,Cross-lingual Transfer Learning with {P}ersian,aclanthology,https://aclanthology.org/2023.sigtyp-1.9,2023,no,,,Universal Dependencies (UD) dataset ,no,no,text,"sentiment [positive, neutral. negative]",multiclass,Persian seems to be a reasonable potential language for Kurmanji and Tagalog low-resource languages for other tasks as well.,not avaiable,
+aclanthology,SA,sentiment analysis persian,Cross-lingual Subjectivity Detection for Resource Lean Languages,aclanthology,https://aclanthology.org/W19-1310,2019,no,,,documents about movies for subjective documents and wikipedia for obkective,no,no,text,-,-,"cross-lingual subjectivity detection on resource lean languages is investigated. They used subjective documents are gathered from the websites containing movie critics such as: www.naghdefarsi.com, myturn.blogsky.com, yasserbayani.persianblog.ir",not avaiable,
+aclanthology,SA,sentiment analysis persian,Why the Unexpected? Dissecting the Political and Economic Bias in {P}ersian Small and Large Language Models,aclanthology,https://aclanthology.org/2024.sigul-1.49,2024,no,,,Political Compass test,no,no,text,"[”Strongly agree”, ”Agree”, ”Disagree”, ”Strongly
+disagree”] ",multiclass,"first the use the political compass test adapted to Persian. Second, we analyze biases present in LLMs",not avaiable,
+arxive,SA,sentiment analysis persian,Benchmarking Large Language Models for Persian: A Preliminary Study Focusing on ChatGPT,arxive,https://arxiv.org/abs/2404.02403,2024,no,,,"ParsiNLU, Arman",no,no,text,"emotion [angry, sad, fear, surprise, happy, hate, other]. sentiment [negative, positive, natural]",multiclass,"They benchmarked only chatGPT for emotion and sentiment , QA , .. tasks",not avaiable,
+other,EA,emotion classification data set Farsi,Recognition of emotional speech and speech emotion in Farsi,ISCA,https://www.isca-archive.org/iscslp_2006/gharavian06_iscslp.pdf,2006,no,,,Farsdat,no,no,speech,"emotion [grief, anger, neutral]",multiclass,This is a continuous Farsi speech corpus including 6000 utterances from 300 speakers with various accents available in Iran,-,
+other,EA,emotion classification data set Farsi,A Transfer-Based Deep Learning Model for Persian Emotion Classification,springer,https://link.springer.com/article/10.1007/s11042-024-19668-w,2024,yes,JAMFA,2350,JAMFA,no,no,text,"emotion[sadness, anger, fear, surprise, disgust and joy]",multiclass,"They prepared the JAMFA dataset with 2350 sentences, and they used several model for emotion classification. BERT-BiLSTM reach 86% accuracy.",not avaiable,
+arxive,EA,emotion classification data set Farsi,Emotion classification in low and moderate resource languages,arxive,https://arxiv.org/pdf/2402.18424,2024,yes,,,Religious text,yes,no,text,"emotion[anger, fear, joy]",multiclass,"they evaluate methods to transfer emotion from resource-rich language. • Collecting and annotating two emotion corpora in Ilocano, Odia, Farsi and Azerbaijani
+as novel resources for low resource and endangered languages.
+English) to low and moderate resource languages",not avaiable,
+other,EA,emotion classification data set Farsi,Emotions from Farsi texts with mutual-word-counting and word-spotting,ieeexplore,https://ieeexplore.ieee.org/document/6313769,2012,no,,,ConceptNet,no,no,text,"emotion [happy, neutral, sad, angry]",multiclass,"They used categorical methods Word-Counting, Mutual-Word-Counting, WordSpotting and the combination of Mutual-Word-Counting and Word-Spotting",not avaiable,
+other,EA,emotion classification data set persian,Deep emotion detection sentiment analysis of persian literary text,researchsquare,https://assets-eu.researchsquare.com/files/rs-1796157/v1_covered.pdf?c=1665867561,2022,no,,,"JAMFA, 2241 emotional sentences from Persian literary books",no,no,text,"emotion [anger/disgust, happiness, fear/surprise, sadness, all], sentiment[ positive, negative, all]",multilabel,,not avaiable,
+other,EA,emotion classification data set persian,"A database for automatic Persian speech emotion recognition: collection, processing and evaluation",ije,https://www.ije.ir/article_72235.html,2013,yes,,,drama radio programs,no,no,speech,"emotion [ anger, joy, surprise, sadness, neutral, fear, disgust, boredom]",multiclass,,not avaiable,
+other,EA,emotion classification data set persian,Automatic persian text emotion detection using cognitive linguistic and deep learning,Jad,https://jad.shahroodut.ac.ir/article_1970_60d0ff5eca67c9f8e41e0967345ba484.pdf,2020,yes,ShortPersianEmo,5472,Bijan Khan's corpus,no,no,text,"emotion [anger, happiness, sadness, surprise, and fear]",multilabel,Bijan Khan's corpus is a collection of Persian texts containing more than 6 million words that have been professionally labeled with syntactic category tags,avaiable,
+other,EA,emotion classification data set persian,Investigating Shallow and Deep Learning Techniques for Emotion Classification in Short Persian Texts,Jad,https://jad.shahroodut.ac.ir/article_3030.html,2023,yes,,,"ShortPersianEmo, 5472 short Persian texts collected from
+Twitter and DigiKala",no,no,text,"emotion [happiness, sadness, anger, fear, and other]",multilabel,,-,
+other,EA,emotion classification dataset Farsi,Speech emotion recognition in Persian based on stacked autoencoder by comparing local and global features,springer,https://link.springer.com/article/10.1007/s11042-023-15132-3,2023,no,,,Persian ESD,no,no,speech,"emotion [happiness, sadness, fear, disgust, anger, and neutral]",multiclass,presents a methodology for speech emotion recognition using an autoencoder neural network,-,
+other,EA,emotion classification corpus Farsi,Text material design for fuzzy emotional speech corpus based on persian semantic and structure,ieeexplore,https://ieeexplore.ieee.org/document/6825469,2013,yes,,,Fuzzy behavior of dataset ,no,no,speech,"emotions [Happiness, Sadness, Fear, Disgust, Anger,Neutral]",multiclass,a methodology for speech emotion recognition using an autoencoder neural network,not avaiable,
+other,EA,emotion detection data set Farsi,Statistical variation analysis of formant and pitch frequencies in anger and happiness emotional sentences in Farsi language,eej,https://eej.aut.ac.ir/article_361_9.html,2023,no,,,Persian ESD,no,no,speech,"emotion [happiness, sadness, fear, disgust, anger, and neutral]",multiclass,improve recognition accuracy in SER,-,
+other,EA,emotion detection dataset Farsi,Iranian emotional face database: Acquisition and validation of a stimulus set of basic facial expressions,springer,https://link.springer.com/article/10.3758/s13428-022-01812-9,2023,no,,,survey,no,no,text,-,multiclass,,-,
+other,EA,emotion detection dataset persian,Emotion Detection in Persian Text; A Machine Learning Model,JPA,https://d1wqtxts1xzle7.cloudfront.net/92538393/article-1-1471-en-libre.pdf?1665950853=&response-content-disposition=inline%3B+filename%3DEmotion_Detection_in_Persian_Text_A_Mach.pdf&Expires=1741883514&Signature=WoshgF2ltPbkFP3Cq98IJLXTktESsd7KqorjLtlATLpT6G98JYo-3vxXOQXPABZXIpCudviDf8CvziSKR~z4nFn2gQXq7iNl8sPw8aHGI83t9EplEt5M6dus3Qv6z1nHLI43wHHkJJvD2BEHnC2iFPJf7o-ixxHeh9q~9dnoy-Zye2INydq~gDjhLFAZzxt3j17aJPftaZU8sY2FoVmM~zYnAgpIdFG2aKlu0EDN5BjKLKX5FMynVmRt-BFF35W4v8OPPwjMaEyOV-BYdKNdfewQixUzvFPHqOx7bKekON9g71VVw-HunpVxPeSNcqt-pFdX47Lmk0gF5vAwl5sZpw__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA,2019,yes,,,Newspaper,no,yes,text,خشم انتظار انزجار ترس خوشی غم تعجب اعتماد,multiclass,this paper is in farsi,not avaiable,
+other,EA,emotion detection corpus Farsi,Emotional speech recognition and emotion identification in Farsi language,Modares,https://mjee.modares.ac.ir/browse.php?a_id=11954&sid=17&slc_lang=en,2008,no,,,فارس دات,no,yes,speech,اندوه خشم عادی,multiclass,this paper is in farsi,not avaiable,
+other,EA,emotion detection corpus persian,Presenting a Text Mining Algorithm to Identify Emotion in Persian Corpus,jitm,https://jitm.ut.ac.ir/article_63112_8577.html,2017,no,,,"Ghazi, D. & Inkpen, D. & Szpakowicz, S. (2014). Prior and contextual emotion of
+words in sentential context. Computer Speech and Language, 28(1), 76–92. ",yes,no,text,"emotion [happiness, sadness, fear, anger, surprise and disgust]",multiclass,this paper is in farsi,not avaiable,
+other,EA,emotion recognition corpus persian,Gender Effects on the Recognition of Emotional Prosody: Evidence from Persian Language,sociolinguistics,https://sociolinguistics.journals.pnu.ac.ir/article_3247_en.html?lang=fa,2016,no,,,Persian ESD,no,yes,speech,"emotion [(anger, disgust, fear, happiness, sadness]",multiclass,,-,
+other,EA,emotion analysis corpus Farsi,"Emotion-Related Words in Persian Dictionaries: Culture, Meaning and Emotion Theory",Journal of Linguistics,https://eresearch.qmu.ac.uk/handle/20.500.12289/4709,2015,no,,,Persian dictionaries,no,yes,text,"(emotion/cognition), hedonic tone (positive/negative), somaticism (somatic/non-somatic) and commonness
+(common/uncommon)",multiclass,analysis of the dictionaries in farsi,not avaiable,
+other,EA,emotion analysis corpora Farsi,The development and psychometric properties of the persian linguistic inquiry and word count (P-LIWC): Emotions and cognitive processes categories,Journal of psychological Science,https://psychologicalscience.ir/article-1-2425-en.pdf,2024,yes,,,translation English version of LIWC-22,no,yes,text,"emotions [positive emotions, negative emotions, anger, sadness, anxiety]",multiclass,examine the psychometric features of the Persian Linguistic Inquiry and Word Count in categories of Affect and Cognitive Processes,not avaiable,
+other,EA,emotion analysis corpora persian,Exploring emotive verbs in Persian and English short stories: a contrastive sociopragmatic approach,springer,https://link.springer.com/article/10.1007/s10936-016-9443-1,2016,no,,,"eight English and Persian short stories, ",no,no,text,"emotion verbs [sth good happend, sth bad happened, sth bad will happen, I don't want things like this to happen, thinking about other people]",multiclass,,not avaiable,
+other,SA,sentiment analysis data set persian,Words are important: improving sentiment analysis in the Persian language by lexicon refining,ACM,https://dl.acm.org/doi/abs/10.1145/3195633?casa_token=H89H5c4PslUAAAAA:E7b7ipg5aUbxm6GPtUL5uWkxmoFe9dphjlfs1IQlVDdozpHV17pRkbZe0YfcERiyxqF8rQbjzO_1FA,2018,yes,,,"16,000 rated documents, PerView",yes,no,text,"sentiment [negative, positive]",binary,,not avaiable,
+aclanthology,EA,emotion analysis data set persian,PersianEmo: Enhancing Farsi-Dari Emotion Analysis with a Hybrid Transformer and Recurrent Neural Network Model,aclanthology,https://aclanthology.org/2024.sigul-1.31.pdf,2024,no,LearnArmanEmo,,”LearnArmanEmo” for farsi and Dari,no,no,text,emotion [Anger Disgust Fear Happiness Sadness Surprise Other],multiclass,they focused on Dari dialect.,not avaiable,
+other,EA,emotion prediction data set persian,Persian speech emotion recognition approach based on multilayer perceptron,Journal of digital content manager,https://dcm.atu.ac.ir/article_13682.html,2022,no,,,,no,no,speech,"emotion [Anger, Happiness]",binary,,not avaiable,
+arxive,EA,emotion prediction dataset Farsi,Utilizing speech emotion recognition and recommender systems for negative emotion handling in therapy Chatbots,arxive,https://arxiv.org/abs/2311.11116,2023,no,,,ShEMO dataset,no,no,speech,"emotions (happiness, surprise, neutrality, sadness, anger, and fear)",multiclass,,not avaiable,
+other,SA,polarity classification data set Farsi,Persian sentence-level sentiment polarity classification,HAL,https://hal.science/hal-03258138/,2021,no,,,PerSent lexicon (Persian lexicon),yes,no,text,"sentiment [positive, negative]",binary,,-,
+other,SA,polarity classification data set Farsi,Sentifars: A persian polarity lexicon for sentiment analysis,ACM,https://dl.acm.org/doi/abs/10.1145/3345627?casa_token=ToYGi7agT6YAAAAA:-QEQp7pzzHiB2xV1RtB2IIIw8sIbPsWbSGt9vOj6ByeTwaIgo5ieb7k7xPtc5GABby2OnyOJ62KsSw,2019,yes,,,SentiFars,yes,no,text,"sentiment [positive, objective,  negative]",multiclass,translation-based approach for building polarity resources in farsi,avaiable,
+other,SA,polarity classification data set Farsi,Bidirectional LSTM deep model for online doctor reviews polarity detection,ieeexplore,https://ieeexplore.ieee.org/abstract/document/9122289?casa_token=RqL84itGjOMAAAAA:UBW63FmAXz7BcVAwl9mpHpdTgNruyU6SqnYX0hetRwDvnbjjta8xHS-AaEh7frzrh9nHXLtWa_o,2020,yes,,,PODOR,no,no,text,"sentiment [positive, negative]",binary,dataset of online doctor reviews extracted from social web,not avaiable,
+other,SA,polarity classification data set Farsi,Leveraging ParsBERT for cross-domain polarity sentiment classification of Persian social media comments,Springer,https://link.springer.com/article/10.1007/s11042-023-16067-5,2023,yes,,,Insta-MultiDSenti.,no,no,text,"sentiment [positive, negative]",binary,classify the sentiments of social media comment,not avaiable,
+other,SA,polarity classification data set Farsi,Tracking and analysis of discourse dynamics and polarity during the early Corona pandemic in Iran,sciencedirect,https://www.sciencedirect.com/science/article/pii/S153204642100191X,2021,yes,,,"Persian data set gathered from different social media networks and news agencies in the period of January 21-April 29, 2020",no,no,text,"sentiment [positive, negative]",binary,,not avaiable,
+other,SA,polarity classification data set persian,Opinion mining in Persian language using a hybrid feature extraction approach based on convolutional neural network,Springer,https://link.springer.com/article/10.1007/s11042-019-07993-4,2019,no,,,Digikala Persian dataset,no,no,text,"sentiment [positive, negative, neutral ]",multiclass,,not avaiable,
+other,SA,polarity classification dataset Farsi,Sentiment analysis of persian movie reviews using deep learning,mdpi,https://www.mdpi.com/1099-4300/23/5/596,2021,yes,,,movie review comments,no,no,text,"sentiment [positive, negative]",binary,"Persian movie websites
+such as www.caffecinema.com (accessed on 15 March 2021) and www.cinematicket.org
+(accessed on 15 March 2021)",not avaiable,
+aclanthology,SA,polarity classification dataset Farsi,Multilingual affect polarity and valence prediction in metaphor-rich texts,aclanthology,https://aclanthology.org/P13-1067.pdf,2013,yes,,,metaphors,no,no,text,"sentiment [-3,-2,-1,0,+1,+2,+3]",multiclass,"manually annotated the affect in farsi and 4 other languages
+metaphor-rich texts",not avaiable,
+other,SA,polarity classification dataset Farsi,Using Group Deep Learning and Data Augmentation in Persian Sentiment Analysis,ieeexplore,https://ieeexplore.ieee.org/abstract/document/10044052,2023,yes,,,Iranian website Dataheart ,no,no,text,"sentiment [positive, negative]",binary,"21,435 comments. Group Deep Learning and Data Augmentation approach has been used to classify emotions in Persian with Eng-Far-Eng Translation process.",not avaiable,
+other,SA,polarity classification corpora persian,Deep Persian sentiment analysis: Cross-lingual training for low-resource languages,Sage journal,https://journals.sagepub.com/doi/full/10.1177/0165551520962781,2020,no,,,Persian Digikala dataset,no,no,text,"sentiment [positive, negative]",binary,,not avaiable,
+other,SA,polarity classification corpora persian,Persent 2.0: Persian sentiment lexicon enriched with domain-specific words,Springer,https://link.springer.com/chapter/10.1007/978-3-030-39431-8_48,2020,yes,PerSent,1490,"Persian Movie Review Dataset, Voice of America (VOA) Persian Headline News Dataset, Cell-phone Review Dataset",yes,no,text,"Polarity (-1,+1)",binary,size of the lexicon is 1490,avaiable,
+other,SA,sentiment classification data set Farsi,Analyzing the political sentiment of tweets in Farsi,AAAI,https://ojs.aaai.org/index.php/ICWSM/article/view/14791,2016,yes,,,tweets,no,no,text,"sentiment [positive, negative, neutral ]",multiclass,"collected over 1 million Tweets on political topics inthe Farsi language, with an annotated data set of over 3,000tweets",not avaiable,
+other,SA,sentiment classification data set Farsi,The impact of sentiment features on the sentiment polarity classification in Persian reviews,Springer,https://link.springer.com/content/pdf/10.1007/s12559-017-9513-1.pdf,2017,yes,,,FerdowsNet,yes,no,text,"sentiment [positive, negative]",binary,,not avaiable,
+other,SA,sentiment classification data set Farsi,Sentiment classification in Persian: Introducing a mutual information-based method for feature selection,ieeexplore,https://ieeexplore.ieee.org/abstract/document/6599671?casa_token=LEM9zWgqxeQAAAAA:R2Ykuq7GrxSFT9LwYJbyyMmVIcIU7rAwMwhpYJTHuqEfuWxflUTcqjOrwD0WfkQKd4-pZW5yFTA,2013,no,,,Persian review documents.,no,no,text,"sentiment [positive, negative]",binary,,not avaiable,
+other,SA,sentiment classification data set Farsi,Enhancing sentiment analysis of persian tweets: A transformer-based approach,ieeexplore,https://ieeexplore.ieee.org/document/10533353,2024,no,,,"Persian Tweets Emotional"" Dataset",no,no,text,"sentiment [anger, disgust, fear, joy, sadness, surprise]",multiclass,They used sentiment but label emotions!!!,-,
+other,SA,sentiment classification data set persian,Sentiment analysis using deep learning on Persian texts,ieeexplore,https://ieeexplore.ieee.org/abstract/document/7985281?casa_token=Q9Ijd9CxeyEAAAAA:dGQRSpel10x8cu-4jAlxJrwMCueGxCYqHsw5VsfjvzACG-17OuvmFRlS8yTMj9axAeInOSw8JcQ,2017,yes,,,Digikala reviews,no,no,text,"sentiment [positive, negative]",binary,Deep learning approaches for persian SA,-,
+other,SA,sentiment classification data set persian,Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis,Springer,https://link.springer.com/article/10.1007/s13278-021-00840-1,2021,yes,,,PerSent,yes,no,text,"sentiment [positive, negative]",binary,Persian idiom lexicon,avaiable,
+other,SA,sentiment classification corpus persian,The application of deep learning in persian documents sentiment analysis,IJISM,https://ijism.isc.ac/article_698303.html,2020,no,,,reviews,no,no,text,"sentiment [positive, negative, neutral ]",multiclass,combination of SCL+CNN can improve the result of sentiment classification in farsi,not avaiable,
+other,SA,sentiment analysis corpus Farsi,Persian text sentiment analysis based on BERT and neural networks,Springer,https://link.springer.com/article/10.1007/s40998-023-00626-5,2023,no,,,"Digikala, Taghche datasets",no,no,text,"sentiment [-2,-1,0,+1,+2]",multiclass,,not avaiable,
+aclanthology,SA,sentiment analysis corpus persian,Lexicon-based sentiment analysis for Persian Text,aclanthology,https://aclanthology.org/R15-1002.pdf,2015,yes,,,Wiktionary open source dictionary,yes,no,text,"sentiment [positive, negative, neutral ]",multiclass,,not avaiable,
+other,SA,sentiment analysis corpus persian,Translation is not enough: comparing lexicon-based methods for sentiment analysis in Persian,ieeexplore,https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8320114,2017,no,,,"Persian version of NRC lexicon, SentiStrength, CNRC, SPerSent ",yes,no,text,"sentiment [-2,-1,0,+1,+2]",multiclass,they evaluate four lexicons are compared to show the importance of lexicons in the performance of document-level sentiment analysis,-,
+other,SA,sentiment analysis data set Farsi,A Sentiment Analysis of Persian Twitter over a Five-Year Period; From the Medical Error in the Death of a Celebrated Iranian Filmmaker to COVID-19,Journal of web research,https://ijwr.usc.ac.ir/article_211545.html,2024,yes,,,"131,000 tweets from 2015 to 2020",no,no,text,"sentiment [positive, negative]",binary,rule-based sentiment analysis,not avaiable,
+other,SA,sentiment analysis data set persian,A framework for sentiment analysis in persian,OPEN TRANSACTIONS ON INFORMATION PROCESSING,https://www.researchgate.net/profile/Ahmad-Naghsh-Nilchi/publication/273339197_A_Framework_for_Sentiment_Analysis_in_Persian/links/571dcece08ae408367be971e/A-Framework-for-Sentiment-Analysis-in-Persian.pdf?origin=journalDetail&_tp=eyJwYWdlIjoiam91cm5hbERldGFpbCJ9,2014,no,,,"BG Data, BS Data",yes,no,text,"sentiment [positive, negative]",binary,cellphone reviews,not avaiable,
+other,SA,sentiment analysis dataset Farsi,LDPSA: A Large Dataset of Persian Sentiment Analysis,ieeexplore,https://ieeexplore.ieee.org/abstract/document/10533380?casa_token=-gYtdy29nREAAAAA:ETqdRjJ3cxIC0Chg__biOMIxISUUkrprjYPDklLYI2c_0Y9TMlFJs5qc14RP5EX7f3O1Hfzo6Zk,2024,yes,,,LDPSA ,no,no,text,"sentiment [1,2,3,4,5]",multiclass,reviews of Fidibo website,not avaiable,
+other,SA,sentiment analysis corpora persian,A hybrid Persian sentiment analysis framework: Integrating dependency grammar based rules and deep neural networks,sciencedirect,https://www.sciencedirect.com/science/article/pii/S0925231219313815,2020,no,,,,no,no,text,"sentiment [positive, negative]",binary,hybrid framework for concept-level sentiment analysis in Persian ,-,
+other,SA,sentiment analysis corpora persian,Persian sentiment analysis without training data using cross-lingual word embeddings,ieeexplore,https://ieeexplore.ieee.org/abstract/document/9345882,2020,no,,,Persian Snapp Food dataset,yes,no,text,"sentiment [positive, negative]",binary,"5,000-word English-Persian bilingual
+dictionary is used as the supervision",-,
+other,SA,sentiment analysis corpora persian,Sentence-level sentiment analysis in Persian,ieeexplore,https://ieeexplore.ieee.org/abstract/document/7983023?casa_token=qg6At4MWkIMAAAAA:jjyE2M86phjEpEquEj4fvNqQb--J45fsLs269e06NjCqm_tL3XjEE_j37Y47SboMcr9kLOQp5zU,2017,yes,,,"5,000-word English-Persian bilingual
+dictionary",yes,no,text,"sentiment [positive, negative]",binary,cross-lingual method ,-,
+other,TD,hate speech detection data set Farsi,Spanning the spectrum of hatred detection: a persian multi-label hate speech dataset with annotator rationales,AAAI,https://ojs.aaai.org/index.php/AAAI/article/view/29743,2024,yes,Phate,"7,056",Twitter,no,no,text,"hateful (violence, hate, vulgar), normal",binary,"7k tweets, the size of hateful dataset is not clear",avaiable,
+other,TD,hate speech detection data set Farsi,Pars-HaO: Hate and Offensive Language Detection on Persian Tweets Using Machine Learning and Deep Learning,IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,https://www.techrxiv.org/users/581546/articles/683116/master/file/data/pars/pars.pdf?inline=true,2023,yes,,,Twitter,no,yes,text,"hate, offensive, neutral",multiclass,"8k tweets, 3k offensive tweets",-,
+other,TD,hate speech detection data set Farsi,The Dark Side of Instagram: A Large Dataset for Identifying Persian Harmful Comments,SoCal NLP Symposium,https://www.researchgate.net/profile/Hadi-Davardoust-2/publication/386905191_The_Dark_Side_of_Instagram_A_Large_Dataset_for_Identifying_Persian_Harmful_Comments/links/675aca07951ca355614017d6/The-Dark-Side-of-Instagram-A-Large-Dataset-for-Identifying-Persian-Harmful-Comments.pdf,2024,yes,PHICAD,"300,000","PHICAD, Instagram",no,no,text,"hate/offense, obscene, spam, none",multiclass,"300k posts, no mentions to IAA or who labeled. Hate is balanced",avaiable,
+other,TD,hate speech detection data set persian,Hate sentiment recognition system for persian language,ieeexplore,https://ieeexplore.ieee.org/document/9959986?denied=,2022,yes,,,Instagram ,no,no,text,hate / no-hate.,binary,"3456 comments. cosine similarities of word-based and character-based n-grams (features) and sentences (samples) are calculated, then used calibrated SVM.",avaiable,
+other,TD,hate speech detection data set persian,Cross-lingual few-shot hate speech and offensive language detection using meta learning,ieeexplore,https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9696324,2022,no,,,"3,000 tweets randomly from each sampling sets (random and
+lexicon-based) for annotation",no,no,text,"offensive language [offensive, non-offensive ], targeted offensive [individual,group,other]","binary, multiclass","They use the dataset presented in ""Offensive language detection in low resource languages: A use case of Persian language"", not sure we want a repeated line",not avaiable,
+other,TD,hate speech detection data set persian,Perbold: A big dataset of persian offensive language on instagram comments,"Tabriz Journal of Electrical Engineering (TJEE),",https://tjee.tabrizu.ac.ir/article_15794_1a75a5b450027a6f41f6dfb9e8cf3e51.pdf,2023,yes,,,Instagram,no,no,text,offensive/Non-offensive/advertisement,multiclass,"30k, balanced",-,
+other,TD,hate speech detection corpus persian,Covertly communicated hate speech: A corpus-assisted pragmatic study,sciencedirect,https://www.sciencedirect.com/science/article/pii/S037821662200296X,2023,yes,,,Instagram,no,no,text,-,-,"744 hateful posts, qualitative analysis has been performed  (there are no normal posts)",-,
+other,TD,hate speech detection corpus persian,Abusive words Detection in Persian tweets using machine learning and deep learning techniques,ieeexplore,https://ieeexplore.ieee.org/document/9729390,2021,yes,,,33338 Persian tweets,no,no,text,"offensive [OFF, NOT]",binary,tested with a test sample of 648 Abusive words in Persian,not avaiable,
+other,TD,hate speech detection corpus persian,PerGOLD: Identification of offensive language in Persian tweets: leveraging crowdsourcing,jcke,https://cke.um.ac.ir/article_46412.html,2025,yes,,,Twitter,no,no,text,"offensive [OFF, NOT]",binary,"13k tweets, 34% offensive",-,
+other,TD,offensive language classification corpus persian,Pars-OFF: a benchmark for offensive language detection on farsi social media,ieeexplore,https://ieeexplore.ieee.org/document/9936700,2022,yes,Pars-OFF,"8,334",Twitter,no,no,text,"offensive [OFF, NOT] + many categories if offensive",-,"10k tweets, 30% offensive",avaiable,
+other,TD,offensive language classification corpus persian,Multilingual Hate Speech Detection using Semi-Supervised Generative Adversarial Network,Springer,https://servicearchitecture.wp.imtbs-tsp.eu/files/2024/02/Multilingual_Hate_Speech_Detection_using_Semi_Supervised_Generative_Adversarial_Network.pdf,2023,no,,,Pars-OFF,no,no,text,"Offensive language detection [OFF/NOT], Offensive type categorization [TIN, UNT], Offensive target identification [IND, GRP, OTH]","binary, binary, multiclass","They use the dataset presented in ""Offensive language detection in low resource languages: A use case of Persian language"", not sure we want a repeated line",-,
+arxive,TD,persian hate speech,OPSD: an Offensive Persian Social media Dataset and its baseline evaluations,arxive,https://arxiv.org/abs/2404.05540,2024,yes,,,"Twitter, Instagram",no,no,text,"offensive [POS (Positive), T-NEG (Targeted Negative), NT-NEG (Non-Targeted Negative)]",multiclass,Creation of dataset + experiments for offensive language detectino in Persian. ,-,
+arxive,TD,persian offensive language,"Offensive Language Detection with BERT-based models, By Customizing Attention Probabilities",arxive,https://arxiv.org/abs/2110.05133,2021,yes,,,"Twitter, Instagram, users’ reviews on different Iranian web applications such as Digikala, Snappfood, etc",no,no,text,"offensive [OFF, NOT]",binary,Creation of dataset + experiments for offensive language detectino in Persian. ,not avaiable,
+arxive,TD,persian offensive language,"A comprehensive cross-language framework for harmful content detection with the aid of sentiment analysis
+
+",arxive,https://arxiv.org/abs/2403.01270,2024,yes,,,Twitter,no,yes,text,"harmful [harmful, not harmful]. Sentiment [positive, neutral. negative]",binary,"They collect a Persian dataset and applied the annotation guideline for harmful detection and sentiment analysis. Next, we present baseline experiments utilizing machine and deep learning methods to set benchmarks.",-,
+other,TD,persian offensive language,Persian ofensive language detection,Springer,https://link.springer.com/article/10.1007/s10994-023-06370-5,2024,yes,,,Twitter,no,no,text,"Non-Ofensive
+(0-NO), Ofensive (1-Ofensive), and Hate (2-Race &Ethnicity, 2-Nationality, 2-Age,
+2-Sex/Gender, 2-Guild, 2-Disability, 2-Immigration Status, 2-Religion, and 2-Victims of
+major violent event)",multiclass,They annotated 38K tweets for offensive language and hate speech,-,
+other,TD,persian offensive language,Offensive language detection in low resource languages: A use case of Persian language,plos,https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0304166,2024,yes,,,Twitter,no,no,text,"offensive (invisual, group, other) , non-offensive",multiclass,6K annotated twiits,-,