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Sentiment Analysis in the Bio-Medical Domain

Techniques, Tools, and Applications

Specificaties
Gebonden, blz. | Engels
Springer International Publishing | e druk, 2018
ISBN13: 9783319684673
Rubricering
Springer International Publishing e druk, 2018 9783319684673
Onderdeel van serie Socio-Affective Computing
€ 180,99
Levertijd ongeveer 8 werkdagen

Samenvatting

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

Specificaties

ISBN13:9783319684673
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing

Inhoudsopgave

Introduction.- Literature Survey.- SenticNet.- Contribution to Sentiment Analysis.- Conclusion and Future Work.- Index.
€ 180,99
Levertijd ongeveer 8 werkdagen

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        Sentiment Analysis in the Bio-Medical Domain