Computational Intelligence Applications for Text and Sentiment Data Analysis

Das, Dipankar, Kolya, Anup Kumar, Basu, Abhishek

  • 出版商: Academic Press
  • 出版日期: 2023-07-20
  • 售價: $5,470
  • 貴賓價: 9.5$5,197
  • 語言: 英文
  • 頁數: 270
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0323905358
  • ISBN-13: 9780323905350
  • 相關分類: Data Science
  • 海外代購書籍(需單獨結帳)

商品描述

Computational Intelligence Applications for Text and Sentiment Data Analysis explores the most recent advances in text information processing and data analysis technologies, specifically focusing on sentiment analysis from multifaceted data. The book investigates a wide range of challenges involved in the accurate analysis of online sentiments, including how to i) identify subjective information from text, i.e., exclusion of 'neutral' or 'factual' comments that do not carry sentiment information, ii) identify sentiment polarity, and iii) domain dependency. Spam and fake news detection, short abbreviation, sarcasm, word negation, and a lot of word ambiguity are also explored.

Further chapters look at the difficult process of extracting sentiment from different multimodal information (audio, video and text), semantic concepts. In each chapter, the book's authors explore how computational intelligence (CI) techniques, such as deep learning, convolutional neural network, fuzzy and rough set, global optimizers, and hybrid machine learning techniques play an important role in solving the inherent problems of sentiment analysis applications.

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