Research Communication | Open Access
Volume 2019 | Communication ID 193
Volume 2019 | Communication ID 193
| Sentiment analysis In Social networks: State of art |
Zineb Nassr, Nawal Sael, Faouzia Benabbou
Received |
Accepted |
Published |
Jan 31, 2019 |
Feb 26, 2019 |
Mar 01, 2019 |
Abstract: Nowadays, several platforms on the web and social networks like Facebook, Twitter, Imdb (Internet Movie Database) propose to file opinions, share feelings and opinions on a variety of topics. This information is very important in several fields like policy [1], digital marketing, social or individual, and their analysis allow as to extract opinions and to determine the subjective information contained in the texts. However, the automatic detection of opinions and the analysis of feelings are confronted with problems that distinguish it from traditional thematic research, because the ...