A Statistical Parsing Framework for Sentiment Classification

Keywords

Computer science, Sentiment analysis, Parsing, Natural language processing, Artificial intelligence

References

• Semi-Supervised Recursive Autoencoders for Predicting Sentiment DistributionsRichard Socher, Jeffrey Pennington, Eric Huang — 2011
• Comparative Experiments on Sentiment Classification for Online Product ReviewsHang Cui, Vibhu O. Mittal, Mayur Datar — 2006
• Max-Margin ParsingBen Taskar, Dan Klein, Michael J. Collins — 2004
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• Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of ReviewsPeter D. Turney — 2002
• Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment AnalysisLi Dong, Furu Wei, Ming Zhou — 2014
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• Sentiment Analysis of Twitter DataApoorv Agarwal, Boyi Xie, Ilia Vovsha — 2011
• Semantic Compositionality through Recursive Matrix-Vector SpacesRichard Socher, Brody Huval, Christopher D. Manning — 2012
• Recognition and Parsing of Context-Free Languages in Time n^3D. H. Younger — 1967
• Generating contextualized sentiment lexica based on latent topics and user ratingsRalf Krestel, Stefan Siersdorfer — 2013
• Three Generative, Lexicalised Models for Statistical ParsingMichael Collins — 1997

Cited by

• Convolutional Neural Networks for Sentence ClassificationYoon Kim — 2014
• Negation-Aware Framework for Sentiment Analysis in Arabic ReviewsRehab Duwairi, Mohammad Alshboul — 2015
• A Joint Segmentation and Classification Framework for Sentence Level Sentiment ClassificationDuyu Tang, Bing Qin, Furu Wei — 2015
• Sentiment Information to Vector, a more Automatic Approach for Sentiment AnalysisLin Du, Wei Xu, Ping Yang Liu — 2014
• Deep learning for sentiment analysis: successful approaches and future challengesDuyu Tang, Bing Qin, Ting Liu — 2015
• A Sentiment Analysis Method Based on Emoticons and Sentiment WordsBaolin Gao, Zhiguo Zhou, Mingxue Zou — 2016
• Sentiment Composition of Words with Opposing PolaritiesSvetlana Kiritchenko, Saif M. Mohammad — 2016
• Analytical mapping of opinion mining and sentiment analysis research during 2000-2015Rajesh Piryani, D. Madhavi, Vivek Kumar Singh — 2017
• Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and UtilizationLucie Flek, Iryna Gurevych — 2016
• Linguistically Regularized LSTM for Sentiment ClassificationQian Qiao, Minlie Huang, Lei, Jinhao — 2016
• On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment AnalysisJosé Camacho-Collados, Mohammad Taher Pilehvar — 2017
• Towards a Seamless Integration of Word Senses into Downstream NLP ApplicationsMohammad Taher Pilehvar, Jose Camacho-Collados, Roberto Navigli — 2017
• A Hybrid Framework for Text Modeling with Convolutional RNNChenglong Wang, Feijun Jiang, Hongxia Yang — 2017
• Leveraging Lexical-Semantic Knowledge for Text Classification TasksLucie Flek — 2017
• Learning Sentimental Representations for Mixed-Gram TermsZhongyang Guo, Zengchang Qin, Tao Wan — 2017
• The Impact of Sentiment Features on the Sentiment Polarity Classification in Persian ReviewsEhsan Asgarian, Mohsen Kahani, Shahla Sharifi — 2018
• Latent syntactic structure-based sentiment analysisViktor Hangya, Zsolt Szántó, Richárd Farkas — 2017
• Using Hybrid-Stemming Approach to Enhance Lexicon-Based Sentiment Analysis in ArabicHunaida Awwad, Adil Alpkoçak — 2017
• A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural NetworksTushar Semwal, Promod Yenigalla, Gaurav Mathur — 2018
• Detecting Opinion Polarities using Kernel MethodsRasoul Kaljahi, Jennifer Foster — 2016

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