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.
引用
收藏
页码：184 / 193
页数：9
相关论文
共 16 条
  • [11] Wang Z., Fey A. M., Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery, International Journal of Computer Assisted Radiology and Surgery, 13, pp. 1959-1970, (2018)
  • [12] Qaiser S., Yusoff N., Ahmad F. K., Ali R., Sentiment analysis of impact of technology on employment from text on twitter, International Journal of Interactive Mobile Technologies, 14, 7, (2020)
  • [13] Saeed S., Shaikh A., Memon M. A., Impact of social networking sites on personality & attitude of young adults (Research covering the young adults’ lives within Korangi, Karachi), International Research Journal of Arts & Humanities (IRJAH), 46, 46, (2018)
  • [14] Khalafat M., Alqatawna J. F S., Al-Sayyed R., Eshtay M., Kobbaey T., Violence detection over online social networks: An Arabic sentiment analysis approach, International Journal of Interactive Mobile Technologies, 15, 14, (2021)
  • [15] Shaikh A., Ali S., Memon N., Karampelas P, SOA security aspects in web-based architectural design, From Sociology to Computing in Social Networks, pp. 415-430, (2010)
  • [16] AbdelFattah M., Galal D., Hassan N., Elzanfaly D., Tallent G., A sentiment analysis tool for determining the promotional success of fashion images on Instagram, International Journal of Interactive Mobile Technologies, 11, 2, pp. 66-73, (2017)
12