--- title: "Who cites Thumbs Up or Thumbs Down? Semantic Orientation…" description: "474 papers of the Elamur Research library cite «Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews», found…" canonical: "https://research.elamur.ai/free/en/papers/turney-2002-thumbs-up-or-thumbs-down/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/turney-2002-thumbs-up-or-thumbs-down/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Thumbs Up or Thumbs Down? Semantic Orientation…](https://md.research.elamur.ai/free/en/papers/turney-2002-thumbs-up-or-thumbs-down/) / cited by # Who cites «Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews» 474 papers of our library cite it (of the 140884 whose bibliographies we read) · 35 with a page here, the most cited first · page 1 of 2 · [← the paper](https://md.research.elamur.ai/free/en/papers/turney-2002-thumbs-up-or-thumbs-down/) **1** [2](https://md.research.elamur.ai/free/en/papers/turney-2002-thumbs-up-or-thumbs-down/cited-by/page/2/) [next →](https://md.research.elamur.ai/free/en/papers/turney-2002-thumbs-up-or-thumbs-down/cited-by/page/2/) - [Thumbs up? Sentiment Classification using Machine Learning Techniques](https://md.research.elamur.ai/free/en/papers/pang-2002-thumbs-up-sentiment-classification-machine/) — Bo Pang, Lillian Lee, Shivakumar Vaithyanathan · 2002 · 7 756 citations - [Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wilson-2005-recognizing-contextual-polarity-phrase-level/) — Theresa Wilson, Janyce Wiebe, Paul Hoffmann · 2005 · 3 979 citations - [A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts](https://md.research.elamur.ai/free/en/papers/pang-2004-sentimental-education-sentiment-analysis-subjectivity/) — Bo Pang, Lillian Lee · 2004 · 3 842 citations - [Lexicon-Based Methods for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/taboada-2011-lexicon-based-methods-sentiment-analysis/) — Maite Taboada, Julian Brooke, Milan Tofiloski, et al. · 2011 · 3 556 citations - [Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales](https://md.research.elamur.ai/free/en/papers/pang-2005-seeing-stars-exploiting-class-relationships/) — Bo Pang, Lillian Lee · 2005 · 2 722 citations - [SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining](https://md.research.elamur.ai/free/en/papers/esuli-2006-sentiwordnet-publicly-available-lexical-resource/) — Andrea Esuli, Fabrizio Sebastiani · 2006 · 2 719 citations - [SemEval-2014 Task 4: Aspect Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/pontiki-2014-semeval-2014-task-4-aspect/) — Maria Pontiki, Dimitris Galanis, John Pavlopoulos, et al. · 2014 · 2 405 citations - [Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification](https://md.research.elamur.ai/free/en/papers/blitzer-2007-biographies-bollywood-boom-boxes-blenders/) — John Blitzer, Mark Dredze, Fernando Pereira · 2007 · 2 329 citations - [Extracting Product Features and Opinions from Reviews](https://md.research.elamur.ai/free/en/papers/popescu-2005-extracting-product-features-opinions-reviews/) — Ana-Maria Popescu, Oren Etzioni · 2005 · 1 904 citations - [Determining the Sentiment of Opinions](https://md.research.elamur.ai/free/en/papers/kim-2004-determining-sentiment-opinions/) — Soo-Min Kim, Eduard Hovy · 2004 · 1 677 citations - [Document Modeling with Gated Recurrent Neural Network for Sentiment Classification](https://md.research.elamur.ai/free/en/papers/tang-2015-document-modeling-gated-recurrent-neural/) — Duyu Tang, Bing Qin, Ting Liu · 2015 · 1 675 citations - [Sentiment Analysis of Twitter Data](https://md.research.elamur.ai/free/en/papers/agarwal-2011-sentiment-analysis-twitter-data/) — Apoorv Agarwal, Boyi Xie, Ilia Vovsha, et al. · 2011 · 1 457 citations - [Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions](https://md.research.elamur.ai/free/en/papers/socher-2011-semi-supervised-recursive-autoencoders-predicting/) — Richard Socher, Jeffrey Pennington, Eric H. Huang, et al. · 2011 · 1 411 citations - [Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification](https://md.research.elamur.ai/free/en/papers/tang-2014-learning-sentiment-specific-word-embedding/) — Duyu Tang, Furu Wei, Nan Yang, et al. · 2014 · 1 341 citations - [Opinion Word Expansion and Target Extraction through Double Propagation](https://md.research.elamur.ai/free/en/papers/qiu-2011-opinion-word-expansion-target-extraction/) — Guang Qiu, Bing Liu, Jiajun Bu, et al. · 2011 · 1 196 citations - [Learning Subjective Language](https://md.research.elamur.ai/free/en/papers/wiebe-2004-learning-subjective-language/) — Janyce Wiebe, Theresa Wilson, Rebecca Bruce, et al. · 2004 · 861 citations - [Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wilson-2009-recognizing-contextual-polarity-exploration-features/) — Theresa Wilson, Janyce Wiebe, Paul Hoffmann · 2009 · 824 citations - [Enhanced Sentiment Learning Using Twitter Hashtags and Smileys](https://md.research.elamur.ai/free/en/papers/davidov-2010-enhanced-sentiment-learning-twitter-hashtags/) — Dmitry Davidov, Oren Tsur, Ari Rappoport · 2010 · 776 citations - [Parsing Argumentation Structures in Persuasive Essays](https://md.research.elamur.ai/free/en/papers/stab-2017-parsing-argumentation-structures-persuasive-essays/) — Christian Stab, Iryna Gurevych · 2017 · 613 citations - [Co-Training for Cross-Lingual Sentiment Classification](https://md.research.elamur.ai/free/en/papers/wan-2009-co-training-cross-lingual-sentiment/) — Xiaojun Wan · 2009 · 594 citations - [Learning subjective nouns using extraction pattern bootstrapping](https://md.research.elamur.ai/free/en/papers/riloff-2003-learning-subjective-nouns-extraction-pattern/) — Ellen Riloff, Janyce Wiebe, Theresa Wilson · 2003 · 579 citations - [An Unsupervised Aspect-Sentiment Model for Online Reviews](https://md.research.elamur.ai/free/en/papers/brody-2010-unsupervised-aspect-sentiment-model-online/) — Samuel Brody, Noemie Elhadad · 2010 · 569 citations - [Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media Text](https://md.research.elamur.ai/free/en/papers/kim-2006-extracting-opinions-opinion-holders-topics/) — Soo-Min Kim, Eduard Hovy · 2006 · 559 citations - [Sentiment Analysis in the Era of Large Language Models: A Reality Check](https://md.research.elamur.ai/free/en/papers/zhang-2023-sentiment-analysis-era-large-language/) — Wenxuan Zhang, Yue Deng, Bing Liu, et al. · 2023 · 505 citations - [Learning Multilingual Subjective Language via Cross-Lingual Projections](https://md.research.elamur.ai/free/en/papers/mihalcea-2007-learning-multilingual-subjective-language-cross/) — Rada Mihalcea, Carmen Banea, Janyce Wiebe · 2007 · 482 citations **1** [2](https://md.research.elamur.ai/free/en/papers/turney-2002-thumbs-up-or-thumbs-down/cited-by/page/2/) [next →](https://md.research.elamur.ai/free/en/papers/turney-2002-thumbs-up-or-thumbs-down/cited-by/page/2/)