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A Practical Guide to Sentiment AnalysisAffective Computing and Sentiment Analysis

A Practical Guide to Sentiment Analysis: Affective Computing and Sentiment Analysis [Understanding emotions is one of the most important aspects of personal development and growth and, as such, it is a key tile for the emulation of human intelligence. Besides being a important for the advancement of AI, emotion processing is also important for the closely related task of polarity detection. The opportunity automatically to capture the sentiments of the general public about social events, political movements, marketing campaigns, and product preferences, in fact, has raised increasing interest both in the scientific community, for the exciting open challenges, and in the business world, for the remarkable fallouts in marketing and financial market prediction. This has led to the emerging fields of affective computing and sentiment analysis, which leverage on human-computer interaction, information retrieval, and multimodal signal processing for distilling people’s sentiments from the ever-growing amount of online social data.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Practical Guide to Sentiment AnalysisAffective Computing and Sentiment Analysis

Part of the Socio-Affective Computing Book Series (volume 5)
Editors: Cambria, Erik; Das, Dipankar; Bandyopadhyay, Sivaji; Feraco, Antonio
Cambria, Erik; Das, Dipankar; Bandyopadhyay, Sivaji; Feraco, Antonio
Springer Journals — Apr 12, 2017
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9 pages

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Publisher
Springer International Publishing
Copyright
© Springer International Publishing AG 2017. Chapter 4 is published with kind permission of the Her Majesty the Queen Right of Canada.
ISBN
978-3-319-55392-4
Pages
1 –10
DOI
10.1007/978-3-319-55394-8_1
Publisher site
See Chapter on Publisher Site

Abstract

[Understanding emotions is one of the most important aspects of personal development and growth and, as such, it is a key tile for the emulation of human intelligence. Besides being a important for the advancement of AI, emotion processing is also important for the closely related task of polarity detection. The opportunity automatically to capture the sentiments of the general public about social events, political movements, marketing campaigns, and product preferences, in fact, has raised increasing interest both in the scientific community, for the exciting open challenges, and in the business world, for the remarkable fallouts in marketing and financial market prediction. This has led to the emerging fields of affective computing and sentiment analysis, which leverage on human-computer interaction, information retrieval, and multimodal signal processing for distilling people’s sentiments from the ever-growing amount of online social data.]

Published: Apr 12, 2017

Keywords: Affective computing; Sentiment analysis; Five eras of the Web; Jumping NLP curves; Hybrid approaches

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