Lybrary.com: ebooks and download videos Search All  Title  Author 
Home / Nonfiction / Computers / Networking

Sentiment Analysis in Social Networks

$59.95
| £47.49 | €54.48 | Ca$82.31 | Au$82.19
by Federico Alberto Pozzi & Elisabetta Fersini & Enza Messina
What is this?DRM-EPUB by download  |  $59.95
What is this?DRM-PDF by download  |  $59.95
add to wish list
Sentiment Analysis in Social Networks by Federico Alberto Pozzi & Elisabetta Fersini & Enza Messina

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

To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.


SHARE  Share by Email  Share on Facebook  Share on Twitter  Share on Linked In  Share on Delicious
or call in the US toll free 1-888-866-9150 product ID: 878395

Ebook Details
Pages: 284
Size: 22.1 MB
Publisher: Morgan Kaufmann
Date published:   2016
ISBN: 2370007645114 (DRM-EPUB)
9780128044384 (DRM-PDF)

DRM Settings
Copying:not allowed
Printing:not allowed
Read Aloud:  not allowed

This product is listed in the following category:

Nonfiction > Computers > Networking

If you find anything wrong with this product listing, perhaps the description is wrong, the author is incorrect, or it is listed in the wrong category, then please contact us. We will promptly address your feedback.

Submit 5 page SummaryWhat is this?

05/29/2017
© 2017 Lybrary.com