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  2. Text mining - Wikipedia

    en.wikipedia.org/wiki/Text_mining

    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." [1] Written resources may include websites, books, emails, reviews, and ...

  3. Glossary of coal mining terminology - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_coal_mining...

    A sough is a drainage tunnel to take water from coal mines without the need to pump it to the surface. [1] An example is the Great Haigh Sough. Spoil tip. Gin Pit Colliery 's old spoil tip or rucks. A spoil tip is a pile built of accumulated spoil - the overburden or other waste rock removed during coal and ore mining.

  4. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    Bag-of-words model. The bag-of-words model is a model of text which uses a representation of text that is based on an unordered collection (or "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus any non-trivial notion of grammar [clarification needed]) but captures ...

  5. Stemming - Wikipedia

    en.wikipedia.org/wiki/Stemming

    Stemming. In linguistic morphology and information retrieval, stemming is the process of reducing inflected (or sometimes derived) words to their word stem, base or root form—generally a written word form. The stem need not be identical to the morphological root of the word; it is usually sufficient that related words map to the same stem ...

  6. Mining - Wikipedia

    en.wikipedia.org/wiki/Mining

    Mining. Mining of sulfur from a deposit at the edge of Ijen 's crater lake, Indonesia. Mining is the extraction of valuable geological materials and minerals from the surface of the Earth. Mining is required to obtain most materials that cannot be grown through agricultural processes, or feasibly created artificially in a laboratory or factory.

  7. tf–idf - Wikipedia

    en.wikipedia.org/wiki/Tf–idf

    tf–idf. In information retrieval, tf–idf (also TF*IDF, TFIDF, TF–IDF, or Tf–idf ), short for term frequency–inverse document frequency, is a measure of importance of a word to a document in a collection or corpus, adjusted for the fact that some words appear more frequently in general. [1] It was often used as a weighting factor in ...

  8. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing (NLP), a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]

  9. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    t. e. Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. [1] Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from ...