A text mining workflow information retrieval: gather a technology-specific corpus of documents.
{"Image DocumentName": "A text mining workflowinformation retrieval: gather a technology-specific corpus of documents.", "Image ImageDescription": "search terms: MeSH terms & CV terms documents: abstracts & full papers resources: Entrez \u2014 MEDLINE & PubMed Central (PMC) term recognition: extract terms as lexical units frequently occurring in a domain-specific corpus. method: C-value provided by NaCTeM. term filtering: filter out terms not directly related to a given technology, such as those denoting substances, organisms, organs, diseases, etc. resources: UMLS \u2014 MetaThesaurus & Semantic Network. no ready-made text mining solution. building customised TM applications from scratch is expensive. alternative: building customised workflows from the existing components publicly available via web services. typically co-occurring classes of terms denoting substances\u2026, which in contrast to the considered analytical techniques have more established CVs.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}