Can I read Sentiment Analysis in Social Networks on EtoBox?

Sentiment Analysis in Social Networks by Liu, Bing (university Of Illinois At Chicago Usa) is a nonfiction available to read on EtoBox.

What is Sentiment Analysis in Social Networks about?

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

Who reads Sentiment Analysis in Social Networks?

Author

Liu, Bing (university Of Illinois At Chicago Usa)

Publisher

Elsevier Science & Technology Books

Published

2016

Language

EN

ISBN

9780128044124

Category

nonfiction

Subjects

Science, Computer Science, Management