dc.contributor.author |
Rajpara, Krupa |
|
dc.contributor.author |
Shilu, Rupal |
|
dc.date.accessioned |
2023-05-16T04:00:21Z |
|
dc.date.available |
2023-05-16T04:00:21Z |
|
dc.date.issued |
2021-06 |
|
dc.identifier.citation |
Rajpara, K. ,Shilu, R.(2021). Personality Prediction Based on Twitter Information. International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 6(1), 147-151. ISSN (Online) 2581-9429.DOI: 10.48175/568 |
en_US |
dc.identifier.issn |
2581-9429 |
|
dc.identifier.uri |
http://10.9.150.37:8080/dspace//handle/atmiyauni/956 |
|
dc.description.abstract |
Personality is an important factor that affects a person’s opinions, like-dislike, thoughts, and
how a person behaves in different situations. Nowadays social media is a platform where people express
their view, how they feel, what they are doing. Every second on average, around 6000 tweets are
generated. This data can be analyzed properly to predict the personality of the user. The aim of this
paper is to identify a person’s personality from the tweets posted by him. Whatever person writes, the
word he uses can be used to predict his personality traits. Based on personality we can prioritize
advertisement, market plan, job suggestion etc. The aim of this paper is to review personality prediction
methods from social media used by different authors around the globe |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) |
en_US |
dc.subject |
Big five personality traits |
en_US |
dc.subject |
Data Mining |
en_US |
dc.subject |
OCEN |
en_US |
dc.subject |
Personality Assessment |
en_US |
dc.subject |
Twitter |
en_US |
dc.title |
Personality Prediction Based on Twitter Information |
en_US |
dc.type |
Article |
en_US |