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portada Sentiment Analysis in Social Networks
Type
Physical Book
Year
2016
Language
English
Pages
284
Format
Paperback
ISBN13
9780128044124
Edition No.
1

Sentiment Analysis in Social Networks

Federico Alberto Pozzi; Elisabetta Fersini; Enza Messina (Author) · Morgan Kaufmann · Paperback

Sentiment Analysis in Social Networks - Federico Alberto Pozzi; Elisabetta Fersini; Enza Messina

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Synopsis "Sentiment Analysis in Social Networks "

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 methodologiesProvides insights into opinion spamming, reasoning, and social network analysisShows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequencesServes 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 methodologiesProvides insights into opinion spamming, reasoning, and social network miningShows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequencesServes as a one-stop reference for the state-of-the-art in social media analytics

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

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