Title :
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
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;
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2014 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2353-3
DOI :
10.1109/ICCCI.2014.6921727
