文章基本信息

标题：Utilized Social Network Dataset for Opinion mining of Election Prediction using Deep Learning
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作者：Vijay Kumar Sharma ; Swati Sharma ; Anmol Jain 等
期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：2
页码：4519-4532
DOI：10.9756/INT-JECSE/V14I2.500
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：This is the type of work which presents the power of volumetry and give assesses over sentiments which will lead the social media to approachand predict crucial decisions from these platforms. One’s view plays an important role in the discovery of the critical decisions. Social media is playing a important role for voicing the emotions and depict the feelings of the common population around the world for the centuries.Mining the general view or feeling of the population is the method known as sentiment analysis or we can call it as opinion mining.In this way ,the election results are been forecasted as an application under the sentiment analysis which usually aimed at the predication for the ongoing election based on the moods that people have by gauging social media. The techniques involving sentiment analysis outlined the survey of evaluation which makes the contribution in prediction for the election by the researchers with the help of the content over social media. The reviews over the political stance present all over the online platforms like facebook,Instagram or twitter had also tried for the infer which is being given by this paper. This paper leads in highlighting the challenges of the research which are being associated with the election result predictions and sentimental analysis has opened these issues. Moreover, this paper also includes some direction for the future over the prediction for election by the content over social media.
关键词：Opinion mining;Election prediction;Social media;Graph analysis;etc