Sentiment Analysis In The Bio-Medical Domain eBook
Techniques, Tools, And Applications
SINOPSE
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 miningDETALHES
| Propriedade | Descrição |
|---|---|
| ISBN: | 9783319684680 |
| Editor: | Springer International Publishing |
| Data de Lançamento: | Janeiro de 2018 |
| Idioma: | Inglês |
| Tipo de produto: | eBook |
| Formato e Compatibilidade: | |
| Coleção: | Socio-Affective Computing |
| Classificação Temática: |
eBooks em Inglês
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Medicina
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Medicina Geral
|
| EAN: | 9783319684680 |
| Acessibilidade: | Ver características de acessibilidade indicadas pelo editor |
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