Automatically identifying a software product's quality attributes through sentiment analysis of tweets

2013 1st International Workshop on Natural Language Analysis in Software Engineering, NaturaLiSE 2013 - Proceedings

Volumn , Issue , 2013, Pages 25-30

  Dehkharghani, Rahim ^a   Yilmaz, Cemal ^a  

^a SABANCI UNIVERSITY   (Turkey)

Author keywords

data mining; machine learning; Sentiment analysis; software quality attributes; twitter

Indexed keywords

APPLICATION PROGRAMS; COMPUTER SOFTWARE SELECTION AND EVALUATION; LEARNING SYSTEMS; SOCIAL NETWORKING (ONLINE); SOFTWARE ENGINEERING; SOFTWARE RELIABILITY;

DOCUMENT FREQUENCY; NATURAL LANGUAGE TEXT; QUALITY ATTRIBUTES; SENTIMENT ANALYSIS; SOFTWARE DEVELOPER; SOFTWARE PRODUCTS; SOFTWARE QUALITY ATTRIBUTES; TWITTER;

DATA MINING;

EID: 84886700377     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAturaLiSE.2013.6611717     Document Type: Conference Paper

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