Frequently Asked Questions
Isn't text mining just another way of searching the web?
We should make clear that text mining is not the same as searching. Search, or informational retrieval, is only the first step in text mining. Once an information retrieval system has been used to identify the documents that are relevant to a particular problem, these documents then need to be analysed by additional systems which use a mixture of natural language processing and data mining techniques to extract information and identify patterns in that information, leading to the discovery of new knowledge. The aim is not to improve the results of searching, but rather to help users find information which previously may only have been discoverable by reading large numbers of documents, or which was not in practice discoverable at all.
BackFeatured News
- NaCTeM talk at University of Cambridge mentioned in blog
- Invited Talk at Open Science Fair
- Invited Talk at Text and Data Mining Symposium in Cambridge
- Invited talk at the University of Cambridge
- NaCTeM article amongst top 1% most downloaded PLOS ONE articles in 2016
- BioNLP 2017 programme announced
- NaCTeM paper on descriptive clustering at EACL 2017
- New article describing method and enriched corpus for normalising phenotype mentions in text
- Prof. Tsujii awarded Okawa prize
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Other News & Events
- New article describing construction of a biodiversity terminological inventory
- Workshop at Biocuration conference at Stanford University
- Invited talk at Text and Data Mining event in Paris
- Invited talk at HBIO 2016
- Keynote talk at DAMDID 2016
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