Sentiment Analysis Using Machine Learning For Twitter

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Sentiment Analysis Using Machine Learning For Twitter
Author(s):
Ankit Kumar, Prof. Sneha A. Khaire, Saurabh Mate, Vipul Thakare, Akshay Chavhan
Keywords:
Social media, Twitter data, Machine learning, Random Forest
Abstract
With the advancement of Web technology and its growth, there's a large volume of knowledge present within the Web for Internet users and plenty of knowledge is generated too. Social networking sites like Twitter, Facebook, Google+ are rapidly gaining popularity as they permit people to share and express their views about topics, have discussion with different communities, or post messages across the planet. There has been plenty of labor worn out the sphere of sentiment analysis of twitter data. we have mainly thought on sentiment analysis of twitter data which is beneficial to research the information available on the tweets where opinions are highly unstructured, heterogeneous and are may be positive or negative, or neutral accordingly. we've also discussed general challenges and applications of sentiment analysis on Twitter.
Article Details
Unique Paper ID: 149393 Publication Volume & Issue: Volume 6, Issue 12 Page(s): 299 - 304
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