UGC Approved Journal no 63975(19)

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

Volume 8 Issue 5
May-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2105746


Registration ID:
309875

Page Number

f610-f611

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Title

A SURVEY ON PERONALITY PREDICTION USING TWITTER

Abstract

Now-a-days, Social media has become so popular that you can easily find people of every age group communicating, connecting, and sharing information and ideas with each other. What we are interested in is the personality of users. Personality is a unique trait, which can tell us majorly about a person, for instance, user’s pattern of behavior. Thus, predicting personality with help of social media turning out to be a trending research area in computational linguistic. Currently, with the help of social media platforms, more and more people can express their activities, feeling, thoughts, and opinions. Posts, comments and status updates made by users of social media can reveal personal information. Here, Twitter, a huge social media platform, comes into picture. In this paper, we are going to use this bulk of publicly available information to help predict a user’s personality. We will describe the type of data collected, our methods of analysis, and the machine learning techniques that allow us to successfully predict personality, and jobs/ professions that are most suitable to a user according to his personality.

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"A SURVEY ON PERONALITY PREDICTION USING TWITTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.f610-f611, May-2021, Available :http://www.jetir.org/papers/JETIR2105746.pdf

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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

"A SURVEY ON PERONALITY PREDICTION USING TWITTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppf610-f611, May-2021, Available at : http://www.jetir.org/papers/JETIR2105746.pdf

Publication Details

Published Paper ID: JETIR2105746
Registration ID: 309875
Published In: Volume 8 | Issue 5 | Year May-2021
DOI (Digital Object Identifier):
Page No: f610-f611
Country: LALITPUR, Uttar Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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