Sentiment Analysis in the Bio-Medical Domain
Techniques, Tools, and Applications
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Beschreibung
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 miningOffers a novel approach to combine computational complexity and machine learning
Demonstrates a construction of Medical Lexicon for the sole purpose of Sentiment Analysis in Bio-medical Domain
Includes a special chapter on experimental results obtained on the medical lexicon built
Offers a novel approach to combine computational complexity and machine learning Demonstrates a construction of Medical Lexicon for the sole purpose of Sentiment Analysis in Bio-medical Domain Includes a special chapter on experimental results obtained on the medical lexicon built
Autor*in
Ranjan Satapathy
Themen in »Sentiment Analysis in the Bio-Medical Domain«
Sentiment Analysis Natural Language Processing Machine Learning Biomedical Text Mining Computational Complexity