Data Extraction Approach using Natural Language Processing for Sentiment Analysis

The branch of research known as "sentiment analysis and opinion mining" focuses on extracting meaning from the written words of others by studying their thoughts, feelings, judgments, and attitudes. Natural language processing is one of the most active study fields in data mining, web mini...

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Published in2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) pp. 970 - 972
Main Authors Mishra, Shreyash, Choubey, Siddhartha, Choubey, Abha, Yogeesh, N, Durga Prasad Rao, J, William, P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 13.12.2022
Subjects
Automation
Blogs
Classifier
Natural Language Processing (NLP)
Opinion Mining
Renewable energy sources
Sentiment analysis
Sentiment Analysis (SA)
Social networking (online)
Text mining
Training Set
Web mining
Online AccessGet full text
DOI10.1109/ICACRS55517.2022.10029216

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Summary:The branch of research known as "sentiment analysis and opinion mining" focuses on extracting meaning from the written words of others by studying their thoughts, feelings, judgments, and attitudes. Natural language processing is one of the most active study fields in data mining, web mining, and text mining. There are numerous uses of sentiment analysis, such as assessing the impact of events on social networks and gauging public opinion on products and services. In the same way as blogs, forums, microblogs, and social networks such as Twitter and Facebook have grown in popularity, sentiment analysis is becoming increasingly important. It is possible to measure sentiments that are captured in digital form using supervised machine learning and lexical-based techniques.
DOI:10.1109/ICACRS55517.2022.10029216