Electronic Resource

Sentiment analysis for social media

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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.

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

302.33 SEN s

Penerbit

London : MDPI - Multidisciplinary Digital Publishing Institute., 2020

Deskripsi Fisik

152 p.; 22 cm.

Bahasa

English

ISBN/ISSN

9783039285723

Klasifikasi

302.33

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

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Subjek

Social media
Humans

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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