Analyzing Twitter data for Multiple languages by applying machine learning Techniques

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Analyzing Twitter data for Multiple languages by applying machine learning Techniques
Author(s):
MANU KRISHNA BHARDWAJ, Brajesh Kumar
Keywords:
Positive Word, Negative Word, Word Cloud, Bayes theorem, Classification, Hindi Words, Hindi Spelled in English Words
Abstract
Most of the people are using social network sites these days to express their ideas/views about any event or product. These ideas are in English language. But in a Country like ours these may be in multi lingual because there are fifteen languages recognized in our constitution. In this paper we implement a text mining process on the basis of multi-disciplinary language by apply machine learning tool and techniques. So the performance of opinion mining increases by using Multiple Languages as compare to single language.
Article Details
Unique Paper ID: 143700 Publication Volume & Issue: Volume 3, Issue 1 Page(s): 43 - 48
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