A Complete Reference to dissertation work on Sentiment Analysis | Strategic Feature Selection Approaches- Python Implementation

Nithya Ramachandran

ISBN 10: 6204984411 / ISBN 13: 9786204984414

Published by LAP LAMBERT Academic Publishing, 2022

About this Item

A Complete Reference to dissertation work on Sentiment Analysis | Strategic Feature Selection Approaches- Python Implementation | Nithya Ramachandran | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204984414 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 122623687

Bibliographic Details

• Title: A Complete Reference to dissertation work on Sentiment Analysis | Strategic Feature Selection Approaches- Python Implementation
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2022
• Language: English
• ISBN 10: 6204984411
• ISBN 13: 9786204984414
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 13D millimeters 220 millimeters width by 150 millimeters height by 13 millimeters depth
• Weight: 340 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book will help you to start understanding what is the purpose of undergoing such kind of analysis and how they are going to encourage the formulation of new kinds of business strategies in the global market. It starts from the beginner level introducing the concepts and slowly diving into python packages that support undergoing such kind of analysis. Today, there are various approaches available to undergo such kind of emotion detection using Machine Learning, Deep Learning Models that are incorporated using TensorFlow networks, and Keras under image processing.