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
- NaCTeM's HSEarch semantic search system mentioned in the news
- Keynote Speaker at Northern Lights Deep Learning Conference 2022
- Vacancy for Postdoctoral Researcher in NLP at DTU Copenhagen working with NaCTeM
- Keynote speaker at CIST'21
- ICML 2021 Workshop on Computational Approaches to Mental Health - 24th July 2021
- Prof. Sophia Ananiadou featured on the 2021 North Innovation Women list
- Outstanding paper designation for NaCTeM paper at Coling 2020
- New article in BMJ Open examining change over time of women’s health in clinical studies
- CfP: Special issue on Semantic Resources and Text Mining
- New article describing neural nested event extraction model
- New article describing syntactically-informed word representations
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Other News & Events
- Keynote speaker at APBC2021
- BioNLP 2021 - First call for papers
- Prof. Ananiadou to chair Women in STEM Conference 2020
- Papers accepted at Coling 2020
- NaCTeM at the AI for Health Winter School 2021
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