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
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 9 Issue 10

Last Date for paper submitting for March Issue is 25 March 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies