Sentiment Analysis Through the Application of Machine Learning Algorithms-Reference-Cited by-同舟云学术

Sentiment Analysis Through the Application of Machine Learning Algorithms

Published:2024-02-09 Issue:1 Volume:2 Page:9-14
ISSN:2584-0932
Container-title:Journal of Computer Networks and Virtualization
language:
Short-container-title:JoCNV

Author:

Takale Dattatray G.,Patil Aadesh,Jadhav Shirishkumar,Masram Sanika,Masarkar Shruti,Kate Raj,Patil Vivek

Abstract

Sentiment analysis, also called opinion mining. It is a natural language processing (NLP) task that involves fixing the sentiment tone expressed in a piece of text including a review, tweet, post, comment, or news article, using machine learning algorithms. There are various social networking sites where people express their views, opinions, and emotions freely. All such posts are recorded and analyzed to determine emotions of the people. Present study recovers posts and finds emotions and polarity of posts. To determine emotions and polarity of posts, various techniques are used.

Publisher

QTanalytics India (Publications)

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