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  2. Cosine similarity - Wikipedia

    en.wikipedia.org/wiki/Cosine_similarity

    For example, in information retrieval and text mining, each word is assigned a different coordinate and a document is represented by the vector of the numbers of occurrences of each word in the document. Cosine similarity then gives a useful measure of how similar two documents are likely to be, in terms of their subject matter, and ...

  3. Document comparison - Wikipedia

    en.wikipedia.org/wiki/Document_comparison

    Document comparison, also known as redlining or blacklining, is a computer process by which changes are identified between two versions of the same document for the purposes of document editing and review. Document comparison is a common task in the legal and financial industries.

  4. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    The word with embeddings most similar to the topic vector might be assigned as the topic's title, whereas far away word embeddings may be considered unrelated. As opposed to other topic models such as LDA, top2vec provides canonical ‘distance’ metrics between two topics, or between a topic and another embeddings (word, document, or ...

  5. Latent semantic analysis - Wikipedia

    en.wikipedia.org/wiki/Latent_semantic_analysis

    Animation of the topic detection process in a document-word matrix. Every column corresponds to a document, every row to a word. A cell stores the weighting of a word in a document (e.g. by tf-idf), dark cells indicate high weights. LSA groups both documents that contain similar words, as well as words that occur in a similar set of documents.

  6. Help:Conditional expressions - Wikipedia

    en.wikipedia.org/wiki/Help:Conditional_expressions

    If any cases are not associated with a value (i.e., no equals sign is used), the next specified value will be used. This allows multiple cases to share the same value without having to specify that value repeatedly (as seen in the example below). If no matching case is found, then the default value is used.

  7. Wikipedia:TemplateData/Tutorial - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:TemplateData/...

    Create or use the short arbitrary "name" for the parameter that will be read by the Wikipedia template software. If you use or the template has a parameter name containing more than one word, these must always be separated by an underscore: _ like this: ocean_size (i.e., parameter names do not contain spaces

  8. Adrian Wojnarowski reveals he was diagnosed with prostate ...

    www.aol.com/sports/adrian-wojnarowski-reveals...

    Former ESPN NBA insider Adrian Wojnarowski revealed in a Sports Illustrated profile that he was diagnosed with prostate cancer in March, months before his stunning retirement.. A line in ...

  9. Visual Word - Wikipedia

    en.wikipedia.org/wiki/Visual_Word

    Each word can then be reprocessed into a morphological system to extract a term related to that word. Then, several words can share the same meaning, each one will refer to the same term (like in any language). Multiple words share the same meaning and belong to the same term (have the same information).