SENTIMENT ANALYSIS BASED ON DEEP LEARNING
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Date
2021-06-10
Journal Title
Journal ISSN
Volume Title
Publisher
University of M'sila
Abstract
Sentiment Analysis and Opinion Mining is an emerging field, in recent years several
research studies have focused on the task of sentiment analysis, especially in the field of
microblogging.
Our work is part of this same research axis, we propose a system of subjective
classification of the opinions of users of the twitter social network on a product or an event in
three categories: positive, negative and neutral.
Our contribution consists in integration of deep learning methods besides Naturel
Language Processing methods.
Our sentiment analysis system is still in the development phase and far from complete.
For improvement, we propose the use of hybrid approaches to have better results, and
possibly expand the use of this work towards other objectives such as trend analysis and
knowledge extraction from social networks.