Social Media Sentiment Analysis On Twitter Datasets

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, restau...

Full description

Saved in:
Bibliographic Details
Main Authors: Tiwari, Shikha, Verma, Anshika, Garg, Peeyush, Bansal, Deepika
Format: Conference Proceeding
Language:English
Subjects:
Data mining
Feature extraction
NLP
Sentiment analysis
Support vector machines
Training
Twitter
Citations: Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2575-7288
DOI:10.1109/ICACCS48705.2020.9074208