Who Cited It

Document Modeling with Gated Recurrent Neural Network for Sentiment Classification

2015 · 1,548 citations · 6 from inside this corpus

Duyu Tang, Bing Qin, Ting Liu

Document level sentiment classification remains a challenge: encoding the intrin-sic relations between sentences in the se-mantic meaning of a document. To ad-dress this, we introduce a neural network model to learn vector-based document rep-resentation in a unified, bottom-up fash-ion. The model first learns sentence rep-resentation with convolutional neural net-work or long short-term memory. After-wards, semantics of sentences and their relations are adaptively encoded in docu-ment representation with gated recurren-t neural network. We conduct documen-t level sentiment classification on four large-scale review datasets from IMDB and Yelp Dataset Challenge. Experimen-tal results show that: (1) our neural mod-el shows superior performances over sev-eral state-of-the-art algorithms; (2) gat-ed recurrent neural network dramatically outperforms standard recurrent neural net-work in document modeling for sentiment classification.1 1

Document Modeling with Gated Recurrent Neural Network for Sentiment Classification (2015)Document Modeling with Gated …Long Short-Term Memory (1997)Long Short-Term MemoryGlove: Global Vectors for Word Representation (2014)Glove: Global Vectors for Wor…Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla… (2014)Learning Phrase Representatio…Distributed Representations of Words and Phrases and their Compositionality (2013)Distributed Representations o…Convolutional Neural Networks for Sentence Classification (2014)Convolutional Neural Networks…Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Foundations of statistical natural language processing (1999)Foundations of statistical na…Deep Learning (2016)Deep LearningLearning long-term dependencies with gradient descent is difficult (1994)Learning long-term dependenci…The Stanford CoreNLP Natural Language Processing Toolkit (2014)The Stanford CoreNLP Natural …Thumbs up? (2002)Thumbs up?Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (2013)Recursive Deep Models for Sem…Opinion Mining and Sentiment Analysis (2008)Opinion Mining and Sentiment …Distributed Representations of Sentences and Documents (2014)Distributed Representations o…Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of … (2002)Thumbs Up or Thumbs Down? Sem…A Convolutional Neural Network for Modelling Sentences (2014)A Convolutional Neural Networ…Sentiment Analysis and Opinion Mining (2017)Sentiment Analysis and Opinio…Learning Word Vectors for Sentiment Analysis (2011)Learning Word Vectors for Sen…Seeing stars (2005)Seeing starsHybrid speech recognition with Deep Bidirectional LSTM (2013)Hybrid speech recognition wit…Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach (2011)Domain Adaptation for Large-S…Don't count, predict! A systematic comparison of context-counting vs. context-predicting … (2014)Don't count, predict! A syste…Hierarchical Attention Networks for Document Classification (2016)Hierarchical Attention Networ…Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)Recent Trends in Deep Learnin…Attention-based LSTM for Aspect-level Sentiment Classification (2016)EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta… (2019)EDA: Easy Data Augmentation T…Deep learning for sentiment analysis: A survey (2018)Deep learning for sentiment a…Deep Learning--based Text Classification (2021)
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What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Glove: Global Vectors for Word Representation201434,067
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…201425,048
Distributed Representations of Words and Phrases and their Compositionality201318,054
Convolutional Neural Networks for Sentence Classification201413,987
Sequence to Sequence Learning with Neural Networks201413,351
Foundations of statistical natural language processing19999,997
Deep Learning20168,952
Learning long-term dependencies with gradient descent is difficult19948,610
The Stanford CoreNLP Natural Language Processing Toolkit20147,269
Thumbs up?20027,057
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank20136,849
Opinion Mining and Sentiment Analysis20086,837
Distributed Representations of Sentences and Documents20145,121
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of …20023,661
A Convolutional Neural Network for Modelling Sentences20143,571
Sentiment Analysis and Opinion Mining20173,331
Learning Word Vectors for Sentiment Analysis20113,294
Seeing stars20052,164
Hybrid speech recognition with Deep Bidirectional LSTM20131,804
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach20111,562
Don't count, predict! A systematic comparison of context-counting vs. context-predicting …20141,388

What cites it, inside the corpus

PaperYearCited
Hierarchical Attention Networks for Document Classification20164,871
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]20182,907
Attention-based LSTM for Aspect-level Sentiment Classification20162,380
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…20191,952
Deep learning for sentiment analysis: A survey20181,918
Deep Learning--based Text Classification20211,525

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DOI · Open access copy · OpenAlex record

Topics

Sentiment Analysis and Opinion MiningComputer Science
Topic ModelingComputer Science
Advanced Text Analysis TechniquesComputer Science

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