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http://dx.doi.org/10.3745/KTSDE.2016.5.8.377

Developing a Sentiment Analysing and Tagging System  

Lee, Hyun Gyu (한국교통대학교 컴퓨터정보공학과)
Lee, Songwook (한국교통대학교 컴퓨터정보공학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.5, no.8, 2016 , pp. 377-384 More about this Journal
Abstract
Our goal is to build the system which collects tweets from Twitter, analyzes the sentiment of each tweet, and helps users build a sentiment tagged corpus semi-automatically. After collecting tweets with the Twitter API, we analyzes the sentiments of them with a sentiment dictionary. With the proposed system, users can verify the results of the system and can insert new sentimental words or dependency relations where sentiment information exist. Sentiment information is tagged with the JSON structure which is useful for building or accessing the corpus. With a test set, the system shows about 76% on the accuracy in analysing the sentiments of sentences as positive, neutral, or negative.
Keywords
Sentiment Analysis; Twitter; Sentiment Tagged Corpus;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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