Sentiment Analysis for Social Media

✍ Scribed by Carlos A. Iglesias (editor), Antonio Moreno (editor)

Publisher: MDPI AG
Year: 2020
Tongue: English
Leaves: 154
Edition: Illustrated
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Sentiment analysis is a branch of natural language processing concerned with the study of the intensity of the emotions expressed in a piece of text. The automated analysis of the multitude of messages delivered through social media is one of the hottest research fields, both in academy and in industry, due to its extremely high potential applicability in many different domains. This Special Issue describes both technological contributions to the field, mostly based on deep learning techniques, and specific applications in areas like health insurance, gender classification, recommender systems, and cyber aggression detection.

✦ Table of Contents

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