Application of Optimization and Machine Learning for Sentiment Analysis

SMART MOVES JOURNAL IJOSCIENCE

View Publication Info
 
 
Field Value
 
Title Application of Optimization and Machine Learning for Sentiment Analysis
 
Creator Chourasiya, Manitosh
Rathod, Prof. Devendra Singh
 
Subject Lexicon, Aspect level, Sentiment Analysis, Machine Learning.
 
Description Sentiment analysis is called detecting emotions extracted from text features and is known as one of the most important parts of opinion extraction. Through this process, we can determine if a script is positive, negative or neutral. In this research, sentiment analysis is performed with textual data. A text feeling analyzer combines natural language processing (NLP) and machine learning techniques to assign weighted assessment scores to entities, subjects, subjects, and categories within a sentence or phrase. In expressing mood, the polarity of text reviews could be graded on a negative to positive scale using a learning algorithm.
The current decade has seen significant developments in artificial intelligence, and the machine learning revolution has changed the entire AI industry. After all, machine learning techniques have become an integral part of any model in today's computing world. However, the ensemble to learning techniques is promise a high level of automation with the extraction of generalized rules for text and sentiment classification activities. This thesis aims to design and implement an optimized functionality matrix using to the ensemble learning for the sentiment classification and its applications.
 
Publisher SMART MOVES
 
Date 2021-10-25
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
science
 
Format application/pdf
 
Identifier http://ijoscience.com/ojsscience/index.php/ojsscience/article/view/411
10.24113/ijoscience.v7i9.411
 
Source SMART MOVES JOURNAL IJOSCIENCE; Volume 7, Issue 9, September; 1-7
2582-4600
 
Language eng
 
Relation http://ijoscience.com/ojsscience/index.php/ojsscience/article/view/411/933
 
Rights Copyright (c) 2021 Manitosh Chourasiya, Prof. Devendra Singh Rathod
http://creativecommons.org/licenses/by/4.0
 

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