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» Learning Word Vectors for Sentiment Analysis
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EMNLP
2007
13 years 9 months ago
Building Lexicon for Sentiment Analysis from Massive Collection of HTML Documents
Recognizing polarity requires a list of polar words and phrases. For the purpose of building such lexicon automatically, a lot of studies have investigated (semi-) unsupervised me...
Nobuhiro Kaji, Masaru Kitsuregawa
EMNLP
2011
12 years 7 months ago
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
EMNLP
2008
13 years 9 months ago
Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis
Determining the polarity of a sentimentbearing expression requires more than a simple bag-of-words approach. In particular, words or constituents within the expression can interac...
Yejin Choi, Claire Cardie
EMNLP
2009
13 years 5 months ago
Sentiment Analysis of Conditional Sentences
This paper studies sentiment analysis of conditional sentences. The aim is to determine whether opinions expressed on different topics in a conditional sentence are positive, nega...
Ramanathan Narayanan, Bing Liu, Alok N. Choudhary
LTCONF
2007
Springer
14 years 2 months ago
Automatically Determining Attitude Type and Force for Sentiment Analysis
Recent work in sentiment analysis has begun to apply fine-grained semantic distinctions between expressions of attitude as features for textual analysis. Such methods, however, r...
Shlomo Argamon, Kenneth Bloom, Andrea Esuli, Fabri...