Sentiment Analysis for Social Media

This book PDF is perfect for those who love Technology & Engineering genre, written by Carlos A. Iglesias and published by MDPI which was released on 02 April 2020 with total hardcover pages 152. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Sentiment Analysis for Social Media books below.

Sentiment Analysis for Social Media
Sentiment Analysis for Social Media
Author : Carlos A. Iglesias
File Size : 55,5 Mb
Publisher : MDPI
Language : English
Release Date : 02 April 2020
ISBN : 9783039285723
Pages : 152 pages
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Sentiment Analysis for Social Media by Carlos A. Iglesias Book PDF Summary

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.

Sentiment Analysis for Social Media

Sentiment Analysis for Social Media by Carlos A. Iglesias,Antonio Moreno

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,

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Sentiment Analysis in Social Networks

Sentiment Analysis in Social Networks by Federico Alberto Pozzi,Elisabetta Fersini,Enza Messina,Bing Liu

The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained

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First International Conference on Sustainable Technologies for Computational Intelligence

First International Conference on Sustainable Technologies for Computational Intelligence by Ashish Kumar Luhach,Janos Arpad Kosa,Ramesh Chandra Poonia,Xiao-Zhi Gao,Dharm Singh

This book gathers high-quality papers presented at the First International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2019), which was organized by Sri Balaji College of Engineering and Technology, Jaipur, Rajasthan, India, on March 29–30, 2019. It covers emerging topics in computational intelligence and effective strategies for its implementation in engineering applications.

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Social Media Mining with R

Social Media Mining with R by Richard Heimann,Nathan Danneman

A concise, handson guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world.Whether you are an undergraduate who wishes to get handson experience working with social data from the Web, a practitioner wishing

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Sentiment Analysis

Sentiment Analysis by Bing Liu

A comprehensive introduction to computational analysis of sentiments, opinions, emotions, and moods. Now including deep learning methods.

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Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media by Brij Gupta,Ahmed A. Abd El-Latif,Dragan Perakovic

"This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends"--

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Sentiment Analysis and Opinion Mining

Sentiment Analysis and Opinion Mining by Bing Liu

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact,

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Sentiment Analysis and Ontology Engineering

Sentiment Analysis and Ontology Engineering by Witold Pedrycz,Shyi-Ming Chen

This edited volume provides the reader with a fully updated, in-depth treatise on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of models of sentiment analysis and ontology –oriented engineering. The volume involves studies devoted to key issues of sentiment

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