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  2. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus.

  3. tf–idf - Wikipedia

    en.wikipedia.org/wiki/Tf–idf

    It is a refinement over the simple bag-of-words model, by allowing the weight of words to depend on the rest of the corpus. It was often used as a weighting factor in searches of information retrieval, text mining, and user modeling. A survey conducted in 2015 showed that 83% of text-based recommender systems in digital libraries used tf–idf. [2]

  4. Document-term matrix - Wikipedia

    en.wikipedia.org/wiki/Document-term_matrix

    which shows which documents contain which terms and how many times they appear. Note that, unlike representing a document as just a token-count list, the document-term matrix includes all terms in the corpus (i.e. the corpus vocabulary), which is why there are zero-counts for terms in the corpus which do not also occur in a specific document.

  5. Bag-of-words model - Wikipedia

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

    The bag-of-words model (BoW) is a model of text which uses a representation of text that is based on an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity.

  6. Coleman–Liau index - Wikipedia

    en.wikipedia.org/wiki/Coleman–Liau_index

    The Coleman–Liau index is calculated with the following formula: = L is the average number of letters per 100 words and S is the average number of sentences per 100 words. The multiplication operator is often omitted in mathematical formulas when it is clear that multiplication is implied, but it is good practice to include it to avoid ...

  7. The 6 most common headache types — and when to see a doctor

    www.aol.com/6-most-common-headache-types...

    Certain types of headaches may be a sign of a more serious condition, such as a brain tumor or aneurysm, especially if the pain is sudden or severe, according to Cohen. "This highlights the ...

  8. Word count - Wikipedia

    en.wikipedia.org/wiki/Word_count

    Word count is commonly used by translators to determine the price of a translation job. Word counts may also be used to calculate measures of readability and to measure typing and reading speeds (usually in words per minute). When converting character counts to words, a measure of 5 or 6 characters to a word is generally used for English. [1]

  9. Discover the best free online games at AOL.com - Play board, card, casino, puzzle and many more online games while chatting with others in real-time.