TOPIC MODELING IN CLINICAL REPORTS - A SURVEY
| Autor: | Ponmalar R Ms, Sangeetha A Ms, Kingsy Grace R Ms, Ponnarasi D Ms |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Topic model
Computer Networks and Communications Hardware and Architecture Computer science 020204 information systems ComputingMethodologies_DOCUMENTANDTEXTPROCESSING 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 02 engineering and technology Data science Software |
| Zdroj: | INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY. :6-10 |
| ISSN: | 2348-9928 2349-6339 |
| DOI: | 10.46532/ijaict-2020002 |
| Popis: | Text mining is a process of converting unstructured data into meaningful data. It may be loosely characterized as the process of analyzing text to extract information that is useful for particular purposes. Topic modeling is a form of text mining, a way of identifying patterns in a corpus. The topics produced by topic modeling techniques are clusters of similar words that are frequently occur together. Topic modeling is also a frequently used text-mining tool for discovery of hidden semantic structures in a text body. Intuitively, a document is about a particular topic, one would expect particular words to appear in the document more or less frequently. This paper, presents a survey on topic modeling in clinical documents. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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