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Everything about Text mining

Process of analysing text to extract information from it

Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al. (2005), there are three perspectives of text mining: information extraction, data mining, and knowledge discovery in databases (KDD). Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output. 'High quality' in text mining usually refers to some combination of relevance, novelty, and interest. Typical text mining tasks include text categorization, text clustering, concept/entity extraction, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Text miningA 5-minute orientation
  2. Skim a recent paper: BioGPT: generative pre-trained transformer for biomedical text generation and miningInfluential work since 2022
  3. Pick up a classic book: King Solomon's MinesThe most-reprinted book on the subject
  4. Read the landmark paper: BioBERT: a pre-trained biomedical language representation model for biomedical text miningCited 6,073 times
  5. Go sideways: Unstructured dataA closely related topic
  6. Go sideways: Sentiment analysisA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Text analytics
  2. Text analysis processes
  3. Applications
  4. Software
  5. Intellectual property law
  6. Implications

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics