Opinion Mining about a Product by Analyzing Public Tweets in Twitter

被引：0

作者：

Das, T. K. ^{[1
]}

Acharjya, D. P. ^{[2
]}

Patra, M. R. ^{[3
]}

机构：

[1] VIT Univ, Sch Informat Technol & Engn, Vellore 632014, Tamil Nadu, India

[2] VIT Univ, Sch Comp Sci & Engn, Vellore 632014, Tamil Nadu, India

[3] Berhampur Univ, PG Dept Comp Sci, Berhampur 760007, Orissa, India

来源：

2014 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI) | 2014年

关键词：

Sentiment Analysis; Unstructured Data;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：4

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