Sentiment Analysis and Predictions of COVID 19 Tweets using Natural Language Processing

Prashant Chauhan,Amit Kumar, Pranjal Srivastava, Rahul Prajapati

International Journal for Research in Applied Science and Engineering Technology（2022）

引用 1|浏览8

暂无评分

摘要

Abstract: Sentiment analysis is one of the major tasks of NLP. In this paper, we analyzed sentiment of covid-19 tweets using popular data science tools and divided this data into three categories- positive, negative, and neutral. we prepared this model to predict the category of the tweet using different supervised classifiers and examined their accuracy. Keywords: NLP, Covid-19, Sentiment Analysis, TextBlob, KNN (K-Nearest Neighbor), RF (Random Forest), NB (Naïve Bayes) classifiers

查看译文

关键词

tweets,covid,predictions,language

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要