A SURVEY ON SENTIMENT ANALYSIS AND OPINION MINING

被引：1
|
作者：
Jyoti [1 ]
Rao, Seema [1 ]
机构：
[1] YMCAUST, Faridabad, India
来源：
INTERNATIONAL CONFERENCE ON ADVANCES IN INFORMATION COMMUNICATION TECHNOLOGY & COMPUTING, 2016 | 2016年
关键词：
Keywords are sentimental analysis; polarity; twitter data; mahout; weka;
D O I：
10.1145/2979779.2979832
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With www expanding its reach to anything and everything related to our daily lives, people are becoming more and more vocal to express their views or ideas on online portals, blogs etc. So there is a million of reviews for a product. As a result, it becomes difficult to track the opinions of customers. Sentiment analysis finds the subjective information from the source data by using natural language processing. There are many techniques available to classify the polarity of opinions. This paper is an effect to provide the detailed survey of various technology and methods to provide polarity of sentiments. Lastly, the paper also compares the two tools available for sentiment analysis and highlights their effectiveness in doing so.
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收藏
页数：5
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