Sentiment Analysis in Social Networks

Sentiment Analysis in Social Networks
Author :
Publisher : Morgan Kaufmann
Total Pages : 286
Release :
ISBN-10 : 9780128044384
ISBN-13 : 0128044381
Rating : 4/5 (381 Downloads)

Book Synopsis Sentiment Analysis in Social Networks by : Federico Alberto Pozzi

Download or read book Sentiment Analysis in Social Networks written by Federico Alberto Pozzi and published by Morgan Kaufmann. This book was released on 2016-10-06 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network analysis - Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network mining - Shows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics


Sentiment Analysis in Social Networks Related Books

Sentiment Analysis in Social Networks
Language: en
Pages: 286
Authors: Federico Alberto Pozzi
Categories: Computers
Type: BOOK - Published: 2016-10-06 - Publisher: Morgan Kaufmann

GET EBOOK

The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiment
Sentiment Analysis for Social Media
Language: en
Pages: 152
Authors: Carlos A. Iglesias
Categories: Technology & Engineering
Type: BOOK - Published: 2020-04-02 - Publisher: MDPI

GET EBOOK

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 automa
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
Language: en
Pages: 336
Authors: Brij Gupta
Categories: Big data
Type: BOOK - Published: 2021 - Publisher:

GET EBOOK

"This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches f
Handbook of Research on Emerging Trends and Applications of Machine Learning
Language: en
Pages: 674
Authors: Solanki, Arun
Categories: Computers
Type: BOOK - Published: 2019-12-13 - Publisher: IGI Global

GET EBOOK

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancemen
Sentiment Analysis and Opinion Mining
Language: en
Pages: 185
Authors: Bing Liu
Categories: Computers
Type: BOOK - Published: 2012 - Publisher: Morgan & Claypool Publishers

GET EBOOK

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written langu