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标题：A Survey on Rumour Detection and Emergency Response System Using Sentiment Analysis
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作者：Veeralahari Dandu ; Pratiksha Chavan ; Mohini Gore 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2020
卷号：9
期号：1
页码：13038-13042
DOI：10.15680/IJIRSET.2020.0901032
出版社：S&S Publications
摘要：Social media generates huge amount of sentiment rich data in the form of tweets, statusupdates and blog posts etc. In Sentiment analysis, this user generated data is very useful in knowing the opinion of the crowd. Twitter sentiment analysis is hard as compared to general sentiment analysis due to presence of slang words and misspellings. Knowledge base approach and Machine learning approach are the well known strategies used for analysing the text. Public and private opinion about vast variety of subjects are expressed and spread continuously through numerous social media. Twitter is one of the popular social media that is used nowadays. Twitter offers a fast and effective way to analyse customers' perspectives toward the crucial to success in the market place.This project uses knowledge base including various patterns for tweets along with multiple strategies to detect the sentiment expressed in a tweet and if a tweet is genuine or not.During natural or man made disasters, humanitarian organizations response look for useful information to support their decision making process.Based on fake news detection analysis, the humanitorian organizationsprovides help assistances in emergency situation.
关键词：Fake News; Twitter Data; Data Processing; NLP; Pattern Recognition; Response System;