Keyword

tweets

Description: Tweets are short posts published on the Twitter, now X, social media platform and analyzed as online communications or text data.

Primary topic: Sentiment Analysis and Opinion Mining (34%)

Wikidata ID: wiki/Q56119332

OpenAlex ID: keywords/tweets

VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text

2014 · C. Hutto, Eric Gilbert · Proceedings of the International AAAI Conference on Web and Social Media · 6,069

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Named Entity Recognition in Tweets: An Experimental Study

2011 · Alan Ritter, Sam Clark, et al. · 1,189

ChatGPT outperforms crowd workers for text-annotation tasks

2023 · Fabrizio Gilardi, Meysam Alizadeh, et al. · Proceedings of the National Academy of Sciences · 1,179

A biterm topic model for short texts

2013 · Xiaohui Yan, Jiafeng Guo, et al. · International World Wide Web Conference (WWW) · 1,127

Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact

2011 · Gunther Eysenbach · Journal of Medical Internet Research · 1,084

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A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts

2022 · Roman Egger, Joanne Yu · Frontiers in Sociology · 979

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Sentiment Analysis of Short Informal Texts

2014 · S. Kiritchenko, X. Zhu, et al. · Journal of Artificial Intelligence Research · 883

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Robust Sentiment Detection on Twitter from Biased and Noisy Data

2010 · Luciano Barbosa, Junlan Feng · 882

SemEval-2016 Task 6: Detecting Stance in Tweets

2016 · Saif Mohammad, Svetlana Kiritchenko, et al. · International Workshop on Semantic Evaluation (SemEval) · 848

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NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets

2013 · Mohammad, Saif M., Kiritchenko, Svetlana, et al. · arXiv (Cornell University) · 797

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ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis

2020 · Mohammad Ehsan Basiri, Shahla Nemati, et al. · Future Generation Computer Systems · 747

SemEval-2018 Task 1: Affect in Tweets

2018 · Saif Mohammad, Felipe Bravo-Marquez, et al. · International Workshop on Semantic Evaluation (SemEval) · 745

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TAGME

2010 · Paolo Ferragina, Ugo Scaiella · ACM International Conference on Information and Knowledge Management (CIKM) · 743

SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)

2019 · Marcos Zampieri, Shervin Malmasi, et al. · International Workshop on Semantic Evaluation (SemEval) · 711

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More than words: Social networks’ text mining for consumer brand sentiments

2013 · Mohamed M. Mostafa · Expert Systems with Applications · 624

Sentiment analysis in twitter using machine learning techniques

2013 · M. S. Neethu, R. Rajasree · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · 502

Covid-19′s impact on supply chain decisions: Strategic insights from NASDAQ 100 firms using Twitter data

2020 · Amalesh Sharma, Anirban Adhikary, et al. · Journal of Business Research · 479

Predicting Flu Trends using Twitter data

2011 · Harshavardhan Achrekar, Avinash Gandhe, et al. · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · 456

A multidimensional approach for detecting irony in Twitter

2012 · Antonio Reyes, Paolo Rosso, et al. · Language Resources and Evaluation · 454

Change-point detection in time-series data by relative density-ratio estimation

2013 · Song Liu, Makoto Yamada, et al. · Neural Networks · 448

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Stock Movement Prediction from Tweets and Historical Prices

2018 · Yumo Xu, Shay B. Cohen · Annual Meeting of the Association for Computational Linguistics (ACL) · 432

Stance and Sentiment in Tweets

2017 · Saif M. Mohammad, Parinaz Sobhani, et al. · ACM Transactions on Internet Technology · 426

Towards an Ethical Framework for Publishing Twitter Data in Social Research: Taking into Account Users’ Views, Online Context and Algorithmic Estimation

2017 · Matthew L Williams, Pete Burnap, et al. · Sociology · 424

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Using Hashtags to Capture Fine Emotion Categories from Tweets

2014 · Saif M. Mohammad, Svetlana Kiritchenko · Computational Intelligence · 408

Adaptive Co-attention Network for Named Entity Recognition in Tweets

2018 · Qi Zhang, Jinlan Fu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 399

Works count: 13,840

Citation count: 117,400