Frequently Asked Questions
What is text mining?
Text mining is the process of discovering and extracting knowledge from unstructured data. This comprises three main activities:
- Information retrieval (IR) to gather relevant texts.
- Information extraction (IE) to identify and extract entities, facts and relationships between them.
- Data mining to find associations among the pieces of information extracted from many different texts
In short, text mining can help make the implicit information in your documents more explicit, saving you time and money. Take a look at our services page to discover the range of services that we currently provide.
BackFeatured News
- Keynote Talk at SIMBig 2019
- Two papers from NaCTeM accepted at EMNLP 2019
- Prof Jun'ichi Tsujii meets with Japanese Prime Minister Shinzo Abe
- NaCTeM announced as the winners of NLP challenge on scholarly discourse and summarisation
- NaCTeM mentioned in Nature news article
- NaCTeM paper accepted at ACL 2019
- New article describing annotated corpus and detection methods for phenotypic information about COPD
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Other News & Events
- Keynote talk at ISCB/ECCB session on Text Mining for Biology and Healthcare
- Invited talk at Aberystwyth University
- Talk at Public Health Data Science Day 2019
- Keynote speech at JEEIT 2019, Jordan
- Invited talk at University of York
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