Textual Sentimental Analysis using Natural Language Processing: with the help of Machine Learning Algorithms SVM & NBC based on Twitter Dataset

Ahmed, Javaid

ISBN 10: 6204204246 / ISBN 13: 9786204204246

Published by LAP LAMBERT Academic Publishing, 2021

About this Item

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Seller Inventory # 400147604

Bibliographic Details

• Title: Textual Sentimental Analysis using Natural Language Processing: with the help of Machine Learning Algorithms SVM & NBC based on Twitter Dataset
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 6204204246
• ISBN 13: 9786204204246
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Sentimental analysis is an important application of Natural language processing. Emotions play a major role in expressing the feelings among human beings. Sentimental analysis is a technique that is used to study people’s emotions, attitudes, sentiments & opinions. Opinion is nothing but the person's feeling reaction towards some topic. This book is based on the end-to-end procedure of how we can perform Textual Sentimental Analysis using Natural Language Processing with the help of Machine Learning Algorithms SVM & NBC based on the Twitter Dataset.