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A Review of Sentiment Analysis Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 37 |
| Year of Publication: 2020 |
| Authors: Suzan Hamed, Mostafa Ezzat, Hesham Hefny |
10.5120/ijca2020920480
|
Suzan Hamed, Mostafa Ezzat, Hesham Hefny . A Review of Sentiment Analysis Techniques. International Journal of Computer Applications. 176, 37 ( Jul 2020), 20-24. DOI=10.5120/ijca2020920480
Abstract
The world wide web makes enormous amount of data which forms in users’ opinions and emotions about different political and social events etc. sentiment of users which are expressed on the web has a great effect on the readers and politicians. that’s because organizations always need to be aware about public opinions for their products and service. social media became a platform to exchange point of views with a reference to sentiment analysis as a text organization which is used to classify expressing emotions in different ways like negative, positive, favorable, and unfavorable. The challenge which faces sentiment analysis is the lack of labeled data in NLP. This review paper describes the latest studies which concern with fulfillment deep learning models to sentiment analysis as deep neural networks, convolutional neural networks, and others to solve various problems.
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