Computational Intelligence Applications For Text And Sentiment Data Analysis(1st Edition)

Authors:

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

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 1 Left

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Book details

ISBN: 0323905358, 978-0323905350

Book publisher: Academic Press

Book Price $82.34 : 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.Introduces Recent Computational Intelligence Approaches To Text Data Processing And ModelingSurveys The Most Recent Developments And Challenges Of Multimodal Data Processing And Sentiment AnalysisPresents Case Studies Which Implement Different Algorithms To Identify Sentiment Polarity And Domain Dependency