Description

Book Synopsis


Table of Contents
1. Introduction to Text and Sentiment Data Analysis 2. Natural Language Processing and Sentiment Analysis: Perspectives from Computational Intelligence 3. Applications and Challenges of Sentiment Analysis in Real Life Scenarios 4. Emotions Recognition of Students from Online and Offline Texts 5. Online Social Network Sensing Models 6. Identifying Sentiments of Hate Speech using Deep Learning 7. An Annotation System to Summarize Medical Corpus using Sentiment based Models 8. Deep learning-based Dataset Recommendation System by employing Emotions 9. Hybrid Deep Learning Architecture Performance on Large English Sentiment Text Data: Merits and Challenges 10. Human-centered Sentiment Analysis 11. An Interactive Tutoring System for Older Adults - Learning with New Apps 12. Irony and Sarcasm Detection 13. Concluding Remarks

Computational Intelligence Applications for Text

Product form

£103.50

Includes FREE delivery

RRP £115.00 – you save £11.50 (10%)

Order before 4pm today for delivery by Wed 24 Dec 2025.

A Paperback by Dipankar Das, Anup Kumar Kolya, Abhishek Basu

Out of stock


    View other formats and editions of Computational Intelligence Applications for Text by Dipankar Das

    Publisher: Elsevier Science
    Publication Date: 7/20/2023 12:00:00 AM
    ISBN13: 9780323905350, 978-0323905350
    ISBN10: 0323905358
    Also in:
    Computing Artificial intelligence (AI) Data capture and analysis

    Description

    Book Synopsis


    Table of Contents
    1. Introduction to Text and Sentiment Data Analysis 2. Natural Language Processing and Sentiment Analysis: Perspectives from Computational Intelligence 3. Applications and Challenges of Sentiment Analysis in Real Life Scenarios 4. Emotions Recognition of Students from Online and Offline Texts 5. Online Social Network Sensing Models 6. Identifying Sentiments of Hate Speech using Deep Learning 7. An Annotation System to Summarize Medical Corpus using Sentiment based Models 8. Deep learning-based Dataset Recommendation System by employing Emotions 9. Hybrid Deep Learning Architecture Performance on Large English Sentiment Text Data: Merits and Challenges 10. Human-centered Sentiment Analysis 11. An Interactive Tutoring System for Older Adults - Learning with New Apps 12. Irony and Sarcasm Detection 13. Concluding Remarks

    Recently viewed products

    © 2025 Book Curl

      • American Express
      • Apple Pay
      • Diners Club
      • Discover
      • Google Pay
      • Maestro
      • Mastercard
      • PayPal
      • Shop Pay
      • Union Pay
      • Visa

      Login

      Forgot your password?

      Don't have an account yet?
      Create account