£106.90

Springer Sentiment Analysis in the Bio-Medical Domain Book

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Description

Explore the intersection of public health and opinion mining with this specialized text from Springer. As social media and health-related forums produce massive amounts of text, the ability to extract meaningful insights becomes vital for the public health community. This book focuses on the technical processes required to handle unstructured textual data and convert it into structured, machine-processable information specifically for the bio-medical domain. Readers will gain a deep understanding of lexicon-based approaches, specifically through the lens of WordNet for Medical Events (WME). This resource provides a detailed look at the techniques, tools, and applications necessary for effective sentiment analysis in medical contexts. It is a valuable asset for those studying socio-affective computing and looking to understand how to manage complex medical data through advanced computational methods.

Key Features

Learn about the development of a specialized bio-medical lexicon through the WME approach.

Understand methods for converting unstructured textual data into structured machine-processable formats.

Explore the use of WordNet for Medical Events (WME) for effective lexicon-based sentiment analysis.

Gain insights into opinion mining within social media and health-related forums and blogs.

Study advanced techniques and applications tailored specifically for the bio-medical domain.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
01 February 2018
Listed Since
24 August 2017

Barcode

No barcode data available

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