{"product_id":"sentiment-analysis-in-the-bio-medical-domain-techniques-tools-and-applications-9783319886091","title":"Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications","description":"\u003cp\u003e • Author(s): Ranjan Satapathy\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Research\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003eThe readers will discover the following key novelties: \u003c\/p\u003e\u003cp\u003e1) development of a bio-medical lexicon: WME expansion and WME enrichment with additional features.;\u003c\/p\u003e\u003cp\u003e2) ensemble of machine learning and computational creativity;\u003c\/p\u003e\u003cp\u003e3) development of microtext analysis techniques to overcome the inconsistency in social communication.\u003c\/p\u003eIt will be of interest to researchers in the fields of socially-intelligent human-machine interaction and biomedical text mining","brand":"Springer","offers":[{"title":"Paperback","offer_id":45274996834455,"sku":"9783319886091","price":11017.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319886091.webp?v=1769281579","url":"https:\/\/atlanticbooks.com\/products\/sentiment-analysis-in-the-bio-medical-domain-techniques-tools-and-applications-9783319886091","provider":"Atlantic Books","version":"1.0","type":"link"}