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Computational Intelligence Applications for Text and Sentiment Data Analysis Das

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Computational Intelligence Applications for Text and Sentiment Data Analysis

Provides advanced coverage on the latest research trends in text and sentiment data analysis

Dipankar Das (Edited by), Anup Kumar Kolya (Edited by), Abhishek Basu (Edited by), Soham Sarkar (Edited by)

9780323905350, Elsevier Science

Paperback / softback, published 20 July 2023

270 pages

22.9 x 15.2 x 2.3 cm, 0.45 kg

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 \u2018neutral\u2019 or \u2018factual\u2019 comments that do not carry sentiment information, ii) identify sentiment polarity, and iii) domain dependency. S]

Computational Intelligence Applications for Text and Sentiment Data Analysis Das

Computational Intelligence Applications for Text and Sentiment Data Analysis

Provides advanced coverage on the latest research trends in text and sentiment data analysis

Dipankar Das (Edited by), Anup Kumar Kolya (Edited by), Abhishek Basu (Edited by), Soham Sarkar (Edited by)

9780323905350, Elsevier Science

Paperback / softback, published 20 July 2023

270 pages

22.9 x 15.2 x 2.3 cm, 0.45 kg

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 \u2018neutral\u2019 or \u2018factual\u2019 comments that do not carry sentiment information, ii) identify sentiment polarity, and iii) domain dependency. S]

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