Sentiment Analysis in the Bio-Medical Domain - Ranjan Satapathy, Erik Cambria & Amir Hussain

Sentiment Analysis in the Bio-Medical Domain

By Ranjan Satapathy, Erik Cambria & Amir Hussain

  • Release Date: 2018-01-23
  • Genre: Medical

The abundance of text available in social media and health-related forums and blogs have recently attracted the interest of the public health community to use these sources for opinion mining. This book presents a lexicon-based approach to sentiment analysis in the bio-medical domain, i.e., WordNet for Medical Events (WME). This book gives an insight in handling unstructured textual data and converting it to structured machine-processable data in the bio-medical domain.

The readers will discover the following key novelties:

1) development of a bio-medical lexicon: WME expansion and WME enrichment with additional features.;

2) ensemble of machine learning and computational creativity;

3) development of microtext analysis techniques to overcome the inconsistency in social communication.
It will be of interest to researchers in the fields of socially-intelligent human-machine interaction and biomedical text mining

Comments:

12 Comments
Taylor Mackenzie
Amazing! I love this site
Aston Ayers
Only Signup is easy and free, finally I can read this book Sentiment Analysis in the Bio-Medical Domain with good quality. Thank you!
Ashley Ann
Been waiting to download this book for months. and finally came out too
Cheryl Lynn
This book Sentiment Analysis in the Bio-Medical Domain is very nice, with quick read and download
Erin Cochran Cole
Great selection and quality is better than many Book Store, no kidding.
Kyle Magner
yes, i am also through this to download books
Eric Mn
Yes this really works! Just got my free account
Terry Barnes
One of the best book I've seen this year!
Pastor Shahuano
Excited, Happy Reading guys !!!
Laura Velez Garcia
Thanks, I'm so glad to be reading this book
Wouter van der Giessen
Laura Velez Garcia yes same me too
Janet McCann
Sign up was really easy. Less than 1 minute I was hooked up