By Topic

Constructing Chinese domain lexicon with improved entropy formula for sentiment analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jing Zhang ; Sch. of Electron. & Inf. Eng., Xi''an Jiaotong Univ., Xi''an, China ; Qinke Peng

Sentiment analysis can promptly find the public attitudes and mental states to provide basis for the decision-making. Most previous work either use sentiment lexicon as sentiment orientation of words for text classification or rely on labeled corpora to train a sentiment classifier. However, sentiment is expressed differently in different domains, and cyber words are exploded with the extensive use of Internet. Traditional methods could not adapt to them well. In this paper, we introduce a method to calculate sentiment scores of words and phrases in different domains for sentiment analysis. This method not only makes up the defect that existing lexicons couldn't adapt to different domains and cyber words, but also avoids high cost of manual annotation in corpus-based approaches. Meanwhile, in order to avoid the high dimensions and sparseness in "bag of words" method, we calculate weighted sum of sentiment score in a review for classification. The results of experiments show that our method is available for sentiment classification on movie reviews and stock reviews.

Published in:

Information and Automation (ICIA), 2012 International Conference on

Date of Conference:

6-8 June 2012