After emerging big data, especially unstructured data,
text mining is considered as a suitable methodology to analysis them.
The number of articles being published and indexed by PubMed is increasing exponentially, and therefore
text mining has become an attractive (and standard) approach in mining literature data when comparing with the traditional labor-intensive strategies.
Text mining is an emerging research area of computer science [3].
Yepes and Berlanga [6] intended a method to yield word-concept prospects from a Knowledge Base (KB) that benefits as a foundation for numerous
text mining works which not only takes into interpretation the core forms within the explanations surrounded in the Knowledge Base (KB) but also those in texts offered from vast unlabeled corpora such as MEDLINE.
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Text Mining e o estudo e a pratica de extrair informacoes de textos usando os principios da linguistica computacional.
For the problem mentioned domain of
text mining has a lot of choices and techniques available and the more relevant of them are the Information extraction, Information Retrieval, Categorization, Concept Linkage and Topic tracking.
In addition, insurers can apply newer analytics such as
text mining to help uncover valuable insights from adjuster notes--information that may not be available elsewhere in structured form.
The software employs
text mining technology from Fujitsu Laboratories that extracts details of complaints from text-based malfunction-related data.