Topic modeling and sentimental analysis of tweets on COVID19 to find the weightage of the popular hashtag

J. Jeyasudha, G. Usha
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引用次数: 3

Abstract

The Hashtags plays a vital role in the social media and it is easily highlighted by each and every people when they tag it for their own views. Marketing and advertisement is booming so that to make their products work through the views of the normal or common people. Sometimes they use the false content for their publicity and misleading the people. In this paper, the covid19 tweets are taken for finding out the popular hashtags using the correlation techniques like pearson, spearman and kendall rank correlation. The Covid19 hashtag is more popular with the correlation coefficient and sentimental analysis of the tweet than coronovirus tag. To justify the popularity, the weightage’s of the hashtag is found out by applying the topic modeling. In that the coronovirus tag is having more weightage than Covid19 tag. © 2021 Karadeniz Technical University. All rights reserved.
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对covid - 19推文进行主题建模和情感分析,找出热门标签的权重
标签在社交媒体中扮演着至关重要的角色,当每个人标记自己的观点时,它很容易被每个人突出。市场营销和广告正在蓬勃发展,以使他们的产品通过正常或普通人的观点。有时他们利用虚假内容进行宣传,误导人们。在本文中,使用pearson, spearman和kendall秩相关等相关技术,将covid - 19推文用于找出流行的标签。从推文的相关系数和情感分析来看,“covid - 19”标签比“冠状病毒”标签更受欢迎。为了证明该标签的受欢迎程度,通过应用主题建模来确定该标签的权重。因为冠状病毒标签比covid - 19标签具有更大的权重。©2021卡拉德尼兹技术大学。版权所有。
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