Social Media Sentiment Analysis On Twitter Datasets

被引:0
作者
Tiwari, Shikha [1 ]
Verma, Anshika [2 ]
Garg, Peeyush [3 ]
Bansal, Deepika [4 ]
机构
[1] Banasthali Univ, Dept Comp & IT, Newai, India
[2] Banasthali Univ, Dept Elect Engn, Newai, India
[3] Manipal Univ Jaipur, Dept Elect Engn, Jaipur, Rajasthan, India
[4] Manipal Univ Jaipur, Dept ECE, Jaipur, Rajasthan, India
来源
2020 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS) | 2020年
关键词
Sentiment Analysis; Data Mining; NLP;
D O I
10.1109/icaccs48705.2020.9074208
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In the era of growing world, Social Sites is one of the platform where lots of people interacted with it. Every individual directly or indirectly connected with the social sites. As we can see, People are used to about taking reviews about anything before doing it- as taking reviews of movies, restaurants, online product shopping and many more. Taking reviews means knowing opinions about things. In a single manner it can state as Sentiment Analysis, or even it can be called as Opinion Mining or Data Mining. Here, the present work is come with the idea of Twitter Sentiment Analysis, in which process is designed to know the person thought about any specific tweet done by them. After knowing the people opinions about any issue, any individual can come up with the conclusion. To do this types of analysis, Present work has taken Natural Language Processing (NLP) in use. So this research paper describe the types of techniques used and also the procedure performed throughout the process.
引用
收藏
页码:925 / 927
页数:3
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