1 option
Sentiment Analysis in the Bio-Medical Domain : Techniques, Tools, and Applications / by Ranjan Satapathy, Erik Cambria, Amir Hussain.
- Format:
- Book
- Author/Creator:
- Satapathy, Ranjan, author.
- Cambria, Erik, author.
- Hussain, Amir, author.
- Series:
- Biomedical and Life Sciences (Springer-11642)
- Socio-affective computing 2509-5706 ; 7.
- Socio-Affective Computing, 2509-5706 ; 7
- Language:
- English
- Subjects (All):
- Medicine.
- Computational intelligence.
- Computer science.
- Biomedicine, general.
- Computational Intelligence.
- Computer Science, general.
- Local Subjects:
- Biomedicine, general.
- Computational Intelligence.
- Computer Science, general.
- Physical Description:
- 1 online resource (XXIV, 134 pages) : 45 illustrations, 33 illustrations in color.
- Edition:
- First edition 2017.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- 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, id est, 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-68468-0
- 9783319684680
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.