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» Learning Word Vectors for Sentiment Analysis
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ACL
2011
12 years 8 months ago
Learning Word Vectors for Sentiment Analysis
Unsupervised vector-based approaches to semantics can model rich lexical meanings, but they largely fail to capture sentiment information that is central to many word meanings and...
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Da...
ICWSM
2009
13 years 2 months ago
Delta TFIDF: An Improved Feature Space for Sentiment Analysis
Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words f...
Justin Martineau, Tim Finin
AAAI
2012
11 years 7 months ago
Sense Sentiment Similarity: An Analysis
This paper describes an emotion-based approach to acquire sentiment similarity of word pairs with respect to their senses. Sentiment similarity indicates the similarity between tw...
Mitra Mohtarami, Hadi Amiri, Man Lan, Thanh Phu Tr...
ICDIM
2009
IEEE
13 years 2 months ago
Are SentiWordNet scores suited for multi-domain sentiment classification?
Motivated by the numerous applications of analysing opinions in multi-domain scenarios, this paper studies the potential of a still rarely considered approach to the problem of mu...
Kerstin Denecke
LREC
2010
157views Education» more  LREC 2010»
13 years 6 months ago
Is Sentiment a Property of Synsets? Evaluating Resources for Sentiment Classification using Machine Learning
Existing approaches to classifying documents by sentiment include machine learning with features created from n-grams and part of speech. This paper explores a different approach ...
Aleksander Wawer