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商品詳細
Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications. 1st ed. 2017
・ISBN 978-3-319-68467-3 hard EUR 149.99
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| 著者・編者 | Satapathy, Ranjan / Cambria, Erik / Hussain, Amir, |
|---|---|
| シリーズ | (Socio-Affective Computing) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2018 |
| ページ数 | 134 pp. |
| 言語 | ENG |
| ニュース番号 | <A02-80909> |
解説
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