Harvesting Opinions in Twitter for Sentiment Analysis

被引：0
|
作者：
Guevara, Juan [1 ,3 ]
Costa, Joana [1 ,2 ]
Arroba, Jorge [3 ,4 ]
Silva, Catarina [1 ,2 ]
机构：
[1] Polytech Inst Leiria, Sch Technol & Management, Leiria, Portugal
[2] Univ Coimbra, Ctr Informat & Syst, Coimbra, Portugal
[3] Univ Cent Ecuador, Quito, Ecuador
[4] Univ Alicante, Alicante, Spain
来源：
2018 13TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI) | 2018年
关键词：
Sentiment Analysis; Twitter; Lexicon;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Sentiment analysis is a very popular technique for social network analysis. One of the most popular social networks for microblogging that has a great growth is Twitter, which allows people to express their opinions using short, simple sentences. These texts are generated daily, and for this reason it is common for people to want to know which are the trending topics and their drifts. In this paper we propose to deploy a mobile app that provides information focusing on areas, such as, Politics, Social, Tourism, and Marketing using a statistical lexicon approach. The application shows the polarity of each theme as positive, negative, or neutral.
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页数：7
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