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We conduct an inquiry into the sociotechnical aspects of sentiment analysis (SA) by critically examining 189 peer-reviewed papers on their applications, models, and datasets.
Vector of locally-aggregated word embeddings (vlawe): A novel document-level representation
Radu Tudor Ionescu and Andrei M Butnaru. 2019 · 1902
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Utilizing bert for aspect-based sentiment analysis via constructing auxiliary sentence
Chi Sun, Luyao Huang, and Xipeng Qiu. 2019 · 1903
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Bert post-training for review reading comprehension and aspect-based sentiment analysis
Hu Xu, Bing Liu, Lei Shu, and Philip S Yu. 2019 · 1904
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Racial bias in hate speech and abusive language detection datasets
Thomas Davidson, Debasmita Bhattacharya, and Ingmar Weber. 2019 · 1905
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Rethinking attribute representation and injection for sentiment classification
Reinald Kim Amplayo. 2019 · 1908
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Alexander Rietzler, Sebastian Stabinger, Paul Opitz, and Stefan Engl. 2019 · 1908
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Generating personalized recipes from historical user preferences
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, and Julian McAuley. 2019 · 1909
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Semeval-2017 task 4: Sentiment analysis in twitter
Sara Rosenthal, Noura Farra, and Preslav Nakov. 2019 · 1912
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Sociotechnical systems
Robert Cooper and Michael Foster. 1971 · 1971
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L.(1981)“the sociology of sentiments and emotions.”
S Gordon. 1981 · 1981
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The evolution of socio-technical systems , volume 2
Eric L Trist. 1981 · 1981
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The emotions
Nico H Frijda et al. 1986 · 1986
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Emotion, cognitive structure, and action tendency
Nico H Frijda. 1987 · 1987
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Tracking point of view in narrative
Janyce M Wiebe. 1994 · 1994
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Yahoo! for amazon: Sentiment parsing from small talk on the web
Sanjiv Ranjan Das and Mike Y Chen. 2001 · 2001
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The nature of emotions: Human emotions have deep evolutionary roots, a fact that may explain their complexity and provide tools for clinical practice
Robert Plutchik. 2001 · 2001
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Thumbs up? sentiment classification using machine learning techniques
Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002 · 2002
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Unsupervised learning of semantic orientation from a hundred-billion-word corpus
Peter D Turney and Michael L Littman. 2002 · 2002
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Mining and summarizing customer reviews
Minqing Hu and Bing Liu. 2004 · 2004
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A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
Bo Pang and Lillian Lee. 2004 · 2004
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Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
Bo Pang and Lillian Lee. 2005 · 2005
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Using emoticons to reduce dependency in machine learning techniques for sentiment classification
Jonathon Read. 2005 · 2005
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Annotating expressions of opinions and emotions in language
Janyce Wiebe, Theresa Wilson, and Claire Cardie. 2005 · 2005
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Opinionfinder: A system for subjectivity analysis
Theresa Wilson, Paul Hoffmann, Swapna Somasundaran, Jason Kessler, Janyce Wiebe, Yejin Choi, Claire Cardie, Ellen Riloff, and Siddharth Patwardhan. 2005a · 2005
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Using natural language processing to improve erulemaking: project highlight
Claire Cardie, Cynthia Farina, and Thomas Bruce. 2006 · 2006
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Multidimensional text analysis for erulemaking
Namhee Kwon, Stuart W Shulman, and Eduard Hovy. 2006 · 2006
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Sentiwordnet: A publicly available lexical resource for opinion mining
Fabrizio Sebastiani and Andrea Esuli. 2006 · 2006
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Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
John Blitzer, Mark Dredze, and Fernando Pereira. 2007 · 2007
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Opinion mining in legal blogs
Jack G Conrad and Frank Schilder. 2007 · 2007
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Blogger-centric contextual advertising
Teng-Kai Fan and Chia-Hui Chang. 2009 · 2009
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Twitter sentiment classification using distant supervision
Alec Go, Richa Bhayani, and Lei Huang. 2009 · 2009
Earlier work this paper cites.
Sentiwordnet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining
Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani, et al. 2010 · 2010
Earlier work this paper cites.
Tweeteval: Unified benchmark and comparative evaluation for tweet classification
Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves, and Luis Espinosa-Anke. 2020 · 2010
Earlier work this paper cites.
The many meanings/aspects of emotion: Definitions, functions, activation, and regulation
Carroll E Izard. 2010 · 2010
Earlier work this paper cites.
OpinRank Review Dataset
Kavita Ganesan and ChengXiang Zhai. 2011 · 2011
Earlier work this paper cites.
When is a liability not a liability? textual analysis, dictionaries, and 10-ks
Tim Loughran and Bill McDonald. 2011 · 2011
Earlier work this paper cites.
Improving document-level sentiment analysis with user and product context
Chenyang Lyu, Jennifer Foster, and Yvette Graham. 2020 · 2011
Earlier work this paper cites.
Learning word vectors for sentiment analysis
Andrew Maas, Raymond E Daly, Peter T Pham, Dan Huang, Andrew Y Ng, and Christopher Potts. 2011 · 2011
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A new anew: Evaluation of a word list for sentiment analysis in microblogs
Finn Årup Nielsen. 2011 · 2011
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Lexicon-based methods for sentiment analysis
Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, and Manfred Stede. 2011 · 2011
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Clustering product features for opinion mining
Zhongwu Zhai, Bing Liu, Hua Xu, and Peifa Jia. 2011 · 2011
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Identifying noun product features that imply opinions
Lei Zhang and Bing Liu. 2011 · 2011
Earlier work this paper cites.
Tweetin’in the rain: Exploring societal-scale effects of weather on mood
Aniko Hannak, Eric Anderson, Lisa Feldman Barrett, Sune Lehmann, Alan Mislove, and Mirek Riedewald. 2012 · 2012
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Sentiment analysis and opinion mining
Bing Liu. 2012 · 2012
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# emotional tweets
Saif Mohammad. 2012 · 2012
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Earnings conference calls and stock returns: The incremental informativeness of textual tone
S McKay Price, James S Doran, David R Peterson, and Barbara A Bliss. 2012 · 2012
Earlier work this paper cites.
Evaluating sentiment in financial news articles
Robert P Schumaker, Yulei Zhang, Chun-Neng Huang, and Hsinchun Chen. 2012 · 2012
Earlier work this paper cites.
A system for real-time twitter sentiment analysis of 2012 us presidential election cycle
Hao Wang, Doğan Can, Abe Kazemzadeh, François Bar, and Shrikanth Narayanan. 2012 · 2012
Earlier work this paper cites.
Web-based traffic sentiment analysis: Methods and applications
Jianping Cao, Ke Zeng, Hui Wang, Jiajun Cheng, Fengcai Qiao, Ding Wen, and Yanqing Gao. 2013 · 2013
Earlier work this paper cites.
Umigon: Sentiment analysis on tweets based on terms lists and heuristics
L Clement. 2013 · 2013
Earlier work this paper cites.
Sentiment during recessions
Diego Garcia. 2013 · 2013
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Panas-t: A pychometric scale for measuring sentiments on twitter
Pollyanna Gonçalves, Fabrício Benevenuto, and Meeyoung Cha. 2013 · 2013
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Monitoring public health concerns using twitter sentiment classifications
Xiang Ji, Soon Ae Chun, and James Geller. 2013 · 2013
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Nrc-canada: Building the state-of-the-art in sentiment analysis of tweets
Saif M Mohammad, Svetlana Kiritchenko, and Xiaodan Zhu. 2013 · 2013
Earlier work this paper cites.
Crowdsourcing a word–emotion association lexicon
Saif M Mohammad and Peter D Turney. 2013 · 2013
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SemEval-2013 task 2: Sentiment analysis in Twitter
Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, Veselin Stoyanov, Alan Ritter, and Theresa Wilson. 2013 · 2013
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Distinguishing the popularity between topics: a system for up-to-date opinion retrieval and mining in the web
Nikolaos Pappas, Georgios Katsimpras, and Efstathios Stamatatos. 2013 · 2013
Earlier work this paper cites.
Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, and Christopher Potts. 2013 · 2013
Earlier work this paper cites.
Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study
Mojtaba Vaismoradi, Hannele Turunen, and Terese Bondas. 2013 · 2013
Earlier work this paper cites.
Financial sentiment analysis for risk prediction
Chuan-Ju Wang, Ming-Feng Tsai, Tse Liu, and Chin-Ting Chang. 2013 · 2013
Earlier work this paper cites.
Norms of valence, arousal, and dominance for 13,915 english lemmas
Amy Beth Warriner, Victor Kuperman, and Marc Brysbaert. 2013 · 2013
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Unspeakable sentences (routledge revivals): narration and representation in the language of fiction
Ann Banfield. 2014 · 2014
Earlier work this paper cites.
Senticnet 3: a common and common-sense knowledge base for cognition-driven sentiment analysis
Erik Cambria, Daniel Olsher, and Dheeraj Rajagopal. 2014 · 2014
Earlier work this paper cites.
Vader: A parsimonious rule-based model for sentiment analysis of social media text
Clayton Hutto and Eric Gilbert. 2014 · 2014
Cited alongside, same era.
Social media analysis for product safety using text mining and sentiment analysis
Haruna Isah, Paul Trundle, and Daniel Neagu. 2014 · 2014
Cited alongside, same era.
Sentiment analysis algorithms and applications: A survey
Walaa Medhat, Ahmed Hassan, and Hoda Korashy. 2014 · 2014
Cited alongside, same era.
Sentiment analysis in facebook and its application to e-learning
Alvaro Ortigosa, José M Martín, and Rosa M Carro. 2014 · 2014
Cited alongside, same era.
Approaches, tools and applications for sentiment analysis implementation
D Alessia, Fernando Ferri, Patrizia Grifoni, and Tiziana Guzzo. 2015 · 2015
Cited alongside, same era.
Sentiwords: Deriving a high precision and high coverage lexicon for sentiment analysis
Deep learning for sentiment analysis: A survey
Lei Zhang, Shuai Wang, and Bing Liu. 2018 · 2018
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Good secretaries, bad truck drivers? occupational gender stereotypes in sentiment analysis
Jayadev Bhaskaran and Isha Bhallamudi. 2019 · 2019
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Sentiment lexicon construction with hierarchical supervision topic model
Dong Deng, Liping Jing, Jian Yu, Shaolong Sun, and Michael K Ng. 2019 · 2019
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Sentiment analysis in social media and its application: Systematic literature review
Zulfadzli Drus and Haliyana Khalid. 2019 · 2019
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Real-time sentiment analysis on e-commerce application
Jahanzeb Jabbar, Iqra Urooj, Wu JunSheng, and Naqash Azeem. 2019 · 2019
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Perturbation sensitivity analysis to detect unintended model biases
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Lorenzo Gatti, Marco Guerini, and Marco Turchi. 2015 · 2015
Cited alongside, same era.
The extent and consequences of p-hacking in science
Megan L Head, Luke Holman, Rob Lanfear, Andrew T Kahn, and Michael D Jennions. 2015 · 2015
Cited alongside, same era.
Twitter opinion mining for adverse drug reactions
Liang Wu, Teng-Sheng Moh, and Natalia Khuri. 2015 · 2015
Cited alongside, same era.
A sentiment analysis of us local government tweets: The connection between tone and citizen involvement
Staci M Zavattaro, P Edward French, and Somya D Mohanty. 2015 · 2015
Cited alongside, same era.
Semantic orientation-based approach for sentiment analysis
Basant Agarwal, Namita Mittal, Basant Agarwal, and Namita Mittal. 2016 · 2016
Cited alongside, same era.
Sentiment analysis on facebook group using lexicon based approach
Sanjida Akter and Muhammad Tareq Aziz. 2016 · 2016
Cited alongside, same era.
Joint multi-grain topic sentiment: modeling semantic aspects for online reviews
Md Hijbul Alam, Woo-Jong Ryu, and SangKeun Lee. 2016 · 2016
Cited alongside, same era.
Vinodkumar Prabhakaran, Ben Hutchinson, and Margaret Mitchell. 2019 · 2019
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Use of sentiment analysis techniques in healthcare domain
Francisco Javier Ramírez-Tinoco, Giner Alor-Hernández, José Luis Sánchez-Cervantes, María del Pilar Salas-Zárate, and Rafael Valencia-García. 2019 · 2019
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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Cynthia Rudin. 2019 · 2019
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Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison
J Fernando Sánchez-Rada and Carlos A Iglesias. 2019 · 2019
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Respectable challenges to respectable theory: Cognitive dissonance theory requires conceptualization clarification and operational tools
David C Vaidis and Alexandre Bran. 2019 · 2019
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le. 2019 · 2019
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Mitigation of unintended biases against non-native english texts in sentiment analysis
Alina Zhiltsova, Simon Caton, and Catherine Mulway. 2019 · 2019
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Language (technology) is power: A critical survey of “bias” in nlp
Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. 2020 · 2020
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Measuring proximity between newspapers and political parties: the sentiment political compass
Fabian Falck, Julian Marstaller, Niklas Stoehr, Sören Maucher, Jeana Ren, Andreas Thalhammer, Achim Rettinger, and Rudi Studer. 2020 · 2020
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Big data analytics and international negotiations: Sentiment analysis of brexit negotiating outcomes
Elena Georgiadou, Spyros Angelopoulos, and Helen Drake. 2020 · 2020
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Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, and Pushmeet Kohli. 2020 · 2020
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Debiasing word embeddings from sentiment associations in names
Christoph Hube, Maximilian Idahl, and Besnik Fetahu. 2020 · 2020
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Social biases in NLP models as barriers for persons with disabilities
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, and Stephen Denuyl. 2020 · 2020
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A novel approach in user reviews analysis using text summarization and sentiment analysis: Survey
Komal Kothari, Aagam Shah, Satvik Khara, and Himanshu Prajapati. 2020 · 2020
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The predictive power of public twitter sentiment for forecasting cryptocurrency prices
Olivier Kraaijeveld and Johannes De Smedt. 2020 · 2020
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Emoji-based sentiment analysis using attention networks
Yinxia Lou, Yue Zhang, Fei Li, Tao Qian, and Donghong Ji. 2020 · 2020
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Aspect-based sentiment analysis using adaptive aspect-based lexicons
Mohammad Erfan Mowlaei, Mohammad Saniee Abadeh, and Hamidreza Keshavarz. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
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Natural language processing, sentiment analysis, and clinical analytics
Adil Rajput. 2020 · 2020
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News sentiment in the cryptocurrency market: An empirical comparison with forex
Lavinia Rognone, Stuart Hyde, and S Sarah Zhang. 2020 · 2020
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Wide range screening of algorithmic bias in word embedding models using large sentiment lexicons reveals underreported bias types
David Rozado. 2020 · 2020
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Reducing sentiment polarity for demographic attributes in word embeddings using adversarial learning
Chris Sweeney and Maryam Najafian. 2020 · 2020
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Biasfinder: Metamorphic test generation to uncover bias for sentiment analysis systems
Muhammad Hilmi Asyrofi, Zhou Yang, Imam Nur Bani Yusuf, Hong Jin Kang, Ferdian Thung, and David Lo. 2021 · 2021
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On the dangers of stochastic parrots: Can language models be too big?
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
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A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Marouane Birjali, Mohammed Kasri, and Abderrahim Beni-Hssane. 2021 · 2021
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On measures of biases and harms in nlp
Sunipa Dev, Emily Sheng, Jieyu Zhao, Aubrie Amstutz, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Akihiro Nishi, Nanyun Peng, et al. 2021 · 2021
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Datasheets for datasets
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé Iii, and Kate Crawford. 2021 · 2021
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An overview on fine-grained text sentiment analysis: Survey and challenges
Xiaoting Guo, Wei Yu, and Xiaodong Wang. 2021 · 2021
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Mitigating sentiment bias for recommender systems
Chen Lin, Xinyi Liu, Guipeng Xv, and Hui Li. 2021 · 2021
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A controlled experiment on using cognitive work analysis for system engineering definition process
Daniel Prun and Camille Raymond. 2021 · 2021
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A proposal for identifying and managing bias in artificial intelligence
Reva Schwartz, Leann Down, Adam Jonas, and Elham Tabassi. 2021 · 2021
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The ethics of emotion in artificial intelligence systems
Luke Stark and Jesse Hoey. 2021 · 2021
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Asourceful’twist: Emoji prediction based on sentiment, hashtags and application source
Pranav Venkit, Zeba Karishma, Chi-Yang Hsu, Rahul Katiki, Kenneth Huang, Shomir Wilson, and Patrick Dudas. 2021 · 2021
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Pranav Narayanan Venkit and Shomir Wilson. 2021 · 2021
Later among the works it cites.
Context-guided bert for targeted aspect-based sentiment analysis
Zhengxuan Wu and Desmond C Ong. 2021 · 2021
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A survey on concept-level sentiment analysis techniques of textual data
Samira Zad, Maryam Heidari, James H Jones, and Ozlem Uzuner. 2021 · 2021
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Measuring judicial sentiment: Methods and application to us circuit courts
Elliott Ash, Daniel L Chen, and Sergio Galletta. 2022 · 2022
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SemEval 2022 task 10: Structured sentiment analysis
Jeremy Barnes, Laura Oberlaender, Enrica Troiano, Andrey Kutuzov, Jan Buchmann, Rodrigo Agerri, Lilja Øvrelid, and Erik Velldal. 2022 · 2022
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Sentiment analysis of user-generated reviews of women safety mobile applications
Afrin Jaman Bonny, Mehrin Jahan, Zannatul Ferdhoush Tuna, Ahmed Al Marouf, and Shah Md Tanvir Siddiqee. 2022 · 2022
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Guest editorial: Sentiment analysis as a multidisciplinary research area
Erik Cambria, Frank Xing, Mike Thelwall, and Roy Welsch. 2022 · 2022
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Ethics sheet for automatic emotion recognition and sentiment analysis
Saif M Mohammad. 2022 · 2022
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An efficient cnn-lstm model for sentiment detection in# blacklivesmatter
Shalli Rani, Ali Kashif Bashir, Adi Alhudhaif, Deepika Koundal, Emine Selda Gunduz, et al. 2022 · 2022
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A survey on implicit aspect detection for sentiment analysis: terminology, issues, and scope
Piyush Kumar Soni and Radhakrishna Rambola. 2022 · 2022
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Global evidence of expressed sentiment alterations during the covid-19 pandemic
Jianghao Wang, Yichun Fan, Juan Palacios, Yuchen Chai, Nicolas Guetta-Jeanrenaud, Nick Obradovich, Chenghu Zhou, and Siqi Zheng. 2022 · 2022
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A survey on sentiment analysis methods, applications, and challenges
Mayur Wankhade, Annavarapu Chandra Sekhara Rao, and Chaitanya Kulkarni. 2022 · 2022
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A survey on aspect-based sentiment analysis: tasks, methods, and challenges
Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, and Wai Lam. 2022 · 2022
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Gmnlp at semeval-2023 task 12: Sentiment analysis with phylogeny-based adapters
Md Mahfuz Ibn Alam, Ruoyu Xie, Fahim Faisal, and Antonios Anastasopoulos. 2023 · 2023
Closest in time.
State of the art: a review of sentiment analysis based on sequential transfer learning
Jireh Yi-Le Chan, Khean Thye Bea, Steven Mun Hong Leow, Seuk Wai Phoong, and Wai Khuen Cheng. 2023 · 2023
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A study of the ping an health app based on user reviews with sentiment analysis
Fang Fang, Yin Zhou, Shi Ying, and Zhijuan Li. 2023 · 2023
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Survey on sociodemographic bias in natural language processing
Vipul Gupta, Pranav Narayanan Venkit, Shomir Wilson, and Rebecca J Passonneau. 2023 · 2023
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Kornel Lewicki, Michelle Seng Ah Lee, Jennifer Cobbe, and Jatinder Singh. 2023 · 2023
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Restaurant survival prediction using customer-generated content: An aspect-based sentiment analysis of online reviews
Hengyun Li, XB Bruce, Gang Li, and Huicai Gao. 2023 · 2023
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Bias against 93 stigmatized groups in masked language models and downstream sentiment classification tasks
Katelyn Mei, Sonia Fereidooni, and Aylin Caliskan. 2023 · 2023
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Unmasking nationality bias: A study of human perception of nationalities in ai-generated articles
Pranav Narayanan Venkit, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao Huang, and Shomir Wilson. 2023 · 2023
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Potential pitfalls with automatic sentiment analysis: The example of queerphobic bias
Eddie L Ungless, Björn Ross, and Vaishak Belle. 2023 · 2023
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Pranav Narayanan Venkit, Mukund Srinath, and Shomir Wilson. 2023 · 2023
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Pattern for python
Tom De Smedt and Walter Daelemans. 2012 · 2067
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