Computational Intelligence Applications for Text and Sentiment Data Analysis
Book Details
Format
Paperback / Softback
ISBN-10
0323905358
ISBN-13
9780323905350
Publisher
Elsevier Science & Technology
Imprint
Academic Press Inc
Country of Manufacture
NL
Country of Publication
GB
Publication Date
Jul 20th, 2023
Print length
270 Pages
Weight
456 grams
Dimensions
15.10 x 23.00 x 2.70 cms
Product Classification:
Data capture & analysisArtificial intelligence
Ksh 20,700.00
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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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