Deep Learning Technique of Sentiment Analysis for Twitter Database

被引：0
作者：
Gattan A.M. [1 ]
机构：
[1] Faculty of Arts and Humanities, King Abdulaziz University, Jeddah
来源：
International Journal of Interactive Mobile Technologies | 2022年 / 16卷 / 01期
关键词：
Deep learning; Sentiment analysis; Twitter; Twitter database;
D O I：
10.3991/IJIM.V16I01.27575
中图分类号：
学科分类号：
摘要：
Sentiment investigation is the progression of calculating, recognizing as well as classifying the people mentality stated in the outline of themanuscript and the outlook of the individual concerning the particular subjectmatter can be investigated with the assist of that statistics. The information isaccumulated by way of the assistance of API in favor of classifying of the endoutcome based on the information collected as in Negative way, Neutral way andPositive way with the support of the scoring polarity allocated in favor of everystatement that are collected. These data are fruitful for discovering and enhancingthe consumer requirements and to acquire better tune-up. Major improvement ofusing the concept of sentiment analysis is to develop the user needs by straightforwardlycollecting the information from the outsized set of consumers © 2022, International Journal of Interactive Mobile Technologies. All Rights Reserved.
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页码：184 / 193
页数：9
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