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Twitter data have become essential to Natural Language Processing (NLP) and social science research, driving various scientific discoveries in recent years.
Sentiment analysis in social media texts
Alexandra Balahur. 2013 · 2013
Earlier work this paper cites.
Exploring demographic language variations to improve multilingual sentiment analysis in social media
Svitlana Volkova, Theresa Wilson, and David Yarowsky. 2013 · 2013
Earlier work this paper cites.
A dependency parser for tweets
Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, and Noah A. Smith. 2014 · 2014
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Demographic factors improve classification performance
Dirk Hovy. 2015 · 2015
Earlier work this paper cites.
An analysis of the user occupational class through Twitter content
Daniel Preoţiuc-Pietro, Vasileios Lampos, and Nikolaos Aletras. 2015 · 2015
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Regulation (EU) 2016/679
European Parliament and Council of European Union. 2016 · 2016
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Human centered NLP with user-factor adaptation
Veronica Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, and H. Andrew Schwartz. 2017 · 2017
Cited alongside, same era.
Tweetment effects on the tweeted: Experimentally reducing racist harassment
Kevin Munger. 2017 · 2017
Cited alongside, same era.
Towards robust and privacy-preserving text representations
Yitong Li, Timothy Baldwin, and Trevor Cohn. 2018 · 2018
Cited alongside, same era.
Twitter as data
Zachary C Steinert-Threlkeld. 2018 · 2018
Cited alongside, same era.
Semantically-enabled optimization of digital marketing campaigns
Vincenzo Cutrona, Flavio De Paoli, Aljaž Košmerlj, Nikolay Nikolov, Matteo Palmonari, Fernando Perales, and Dumitru Roman. 2019 · 2019
Cited alongside, same era.
TweetEval: Unified benchmark and comparative evaluation for tweet classification
Francesco Barbieri, Jose Camacho-Collados, Luis Espinosa Anke, and Leonardo Neves. 2020 · 2020
BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics
Maarten Grootendorst. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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Beyond NDCG: behavioral testing of recommender systems with reclist
Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Chloe He, and Brian Ko. 2021 · 2021
Later among the works it cites.
The importance of modeling social factors of language: Theory and practice
Dirk Hovy and Diyi Yang. 2021 · 2021
Later among the works it cites.
Demographic inference and representative population estimates from multilingual social media data
Zijian Wang, Scott Hale, David Ifeoluwa Adelani, Przemyslaw Grabowicz, Timo Hartman, Fabian Flöck, and David Jurgens. 2019 · 2067
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Cited alongside, same era.
Pre-training is a hot topic: Contextualized document embeddings improve topic coherence
Federico Bianchi, Silvia Terragni, and Dirk Hovy. 2021a
Cited in the paper.
Cross-lingual contextualized topic models with zero-shot learning
Federico Bianchi, Silvia Terragni, Dirk Hovy, Debora Nozza, and Elisabetta Fersini. 2021b
Cited in the paper.
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