Sentiment analysis of X text with deep learning | A comparative study

Jessica Olivares López (u. a.)

ISBN 10: 6207034287 / ISBN 13: 9786207034284

Published by Our Knowledge Publishing, 2024

About this Item

Sentiment analysis of X text with deep learning | A comparative study | Jessica Olivares López (u. a.) | Taschenbuch | Englisch | 2024 | Our Knowledge Publishing | EAN 9786207034284 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Seller Inventory # 128276845

Bibliographic Details

• Title: Sentiment analysis of X text with deep learning | A comparative study
• Publisher: Our Knowledge Publishing
• Publication Date: 2024
• Language: English
• ISBN 10: 6207034287
• ISBN 13: 9786207034284
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 143 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Sentiment analysis is one of the text classification applications of natural language processing, basically assigning an appropriate category to the content of a sentence, text or document, based on the (previously unstructured) text processing. This classification is done by assigning a sentiment polarity: positive, negative or neutral to a sentence or a document, or by assigning an emotion that is identified in the sentence.Sentiment analysis is currently a powerful tool in various applications for different industries. It can be applied to different sectors; textile, automotive, food, manufacturing, etc., or even in government agencies, universities, among others, but specifically in spaces where data is collected on a daily basis. Therefore, the use of this type of strategies is becoming more and more important. From the data that have been generated and stored for years, inferences can be made to help validate, support or stop any type of decision making.