UGC Approved Journal no 63975

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

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRC006218


Registration ID:
183778

Page Number

1268-1273

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Title

CLASSIFICATION OF POSTS RELATED TO FACEBOOK BASED ON SPECIFIC CATEGORY

Abstract

The increase of interest in using social media as a source for research has motivated tackling the challenge of automatically geolocating messages , given the lack of explicit location information in the majority of messages. In contrast to much previous work that has focused on classification of messages(posts) restricted to a specific category, here we undertake the task in a broader context by classifying global messages, which is so far unexplored in a real-time scenario. To develop a system that classifies Facebook posts , Extract texts from posts, images, videos of social media as Face book to know how people feel about different posts, Classify the post gives probable effect of the original post, so its easier to understand social affect of any post on Facebook or any such social media.So we focused on Facebook statuses, which we can view as opinions of users or their reaction on concern we want to analyze. We develop tool status puller that automatically collects random Facebook statuses. Then we make classifier that performs classifications on that corpus collected from Facebook.The dramatic and exponential growth of content available on web and its classification has now become an efficient methodology to make the contents of large repository in an organized manner. Social networking websites are the new era of expressing views. Today every fifth person put their opinions, views, comments on these micro-blogging and social sites like, facebook and many more. Now people are using internet as a communication tool among their social network including friends, family, friends of friends to these micro-blogging and social network sites. In this we gradually put and share their opinions among their friends on these sites which finally becomes huge and relevant repository for any of particular entity or organization

Key Words

geolocating messages, micro-blogging

Cite This Article

"CLASSIFICATION OF POSTS RELATED TO FACEBOOK BASED ON SPECIFIC CATEGORY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.1268-1273, July-2018, Available :http://www.jetir.org/papers/JETIRC006218.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

"CLASSIFICATION OF POSTS RELATED TO FACEBOOK BASED ON SPECIFIC CATEGORY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp1268-1273, July-2018, Available at : http://www.jetir.org/papers/JETIRC006218.pdf

Publication Details

Published Paper ID: JETIRC006218
Registration ID: 183778
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 1268-1273
Country: NELLORE, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162


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