UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 9
September-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2109361


Registration ID:
314555

Page Number

d542-d545

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Title

ANALYSIS AND LOCATION PREDICTIONOF THE DATA FROM THE TWITTER ACCOUNT USING MACHINE LEARNING

Abstract

This Paper is mainly aiming to find the location from the geo –map which has been predicted from the twitter data. When the user who posted the tweet on twitter for various purposes like territory knowing or an illegal messages, it is necessary to know the location where the data has been posted. This will help to track and reduce the crime activites. For this activity KNN to find the location of the message and SVM to classify the message have been used. Location information will be in the form of country/city names with hashtags.

Key Words

Twitter data , Location Prediction, GPS enable.

Cite This Article

"ANALYSIS AND LOCATION PREDICTIONOF THE DATA FROM THE TWITTER ACCOUNT USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 9, page no.d542-d545, September-2021, Available :http://www.jetir.org/papers/JETIR2109361.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ANALYSIS AND LOCATION PREDICTIONOF THE DATA FROM THE TWITTER ACCOUNT USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 9, page no. ppd542-d545, September-2021, Available at : http://www.jetir.org/papers/JETIR2109361.pdf

Publication Details

Published Paper ID: JETIR2109361
Registration ID: 314555
Published In: Volume 8 | Issue 9 | Year September-2021
DOI (Digital Object Identifier):
Page No: d542-d545
Country: bangalore, karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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