Opinion mining about a product by analyzing public tweets in Twitter

Author

Das, Tushar Kanti ; Acharjya, D.P. ; Patra, M.R.

Author_Institution

Sch. of Inf. Technol. & Eng., VIT Univ., Vellore, India

fYear

2014

fDate

3-5 Jan. 2014

Firstpage

1

Lastpage

4

Abstract

In this paper we have explained the detailed work done in developing a system which can be used for the purpose of opinion analysis of a product or a service. The system readily processes the tweets by pulling data from tweeter posts, preprocessing it and connecting to Alchemy API by REST call method. and showing the result graphically. We have given the analysis for the product Samsung Galaxy Our proposed system access the public tweets by API and filters them for Samsung Galaxy. The analysis is being carried out as to classify the sentiment as positive, negative or neutral.

Keywords

application program interfaces; data mining; emotion recognition; information filtering; text analysis; Alchemy API; REST call method; Samsung Galaxy; Tweeter posts; Twitter; product opinion analysis; product opinion mining; public tweet analysis; sentiment classification; service opinion analysis; Companies; Computers; Databases; Informatics; Sentiment analysis; Twitter; Sentiment Analysis; Unstructured Data;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Communication and Informatics (ICCCI), 2014 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-2353-3

Type

conf

DOI

10.1109/ICCCI.2014.6921727

Filename

6921727