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  2. Stop word - Wikipedia

    en.wikipedia.org/wiki/Stop_word

    In this case, stop words can cause problems when searching for phrases that include them, particularly in names such as "The Who", "The The", or "Take That". Other search engines remove some of the most common words—including lexical words , such as "want"—from a query in order to improve performance.

  3. Natural Language Toolkit - Wikipedia

    en.wikipedia.org/wiki/Natural_Language_Toolkit

    Parse tree generated with NLTK. The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning ...

  4. Document clustering - Wikipedia

    en.wikipedia.org/wiki/Document_clustering

    3. Removing stop words and punctuation. Some tokens are less important than others. For instance, common words such as "the" might not be very helpful for revealing the essential characteristics of a text. So usually it is a good idea to eliminate stop words and punctuation marks before doing further analysis. 4. Computing term frequencies or ...

  5. Help:Cheatsheet - Wikipedia

    en.wikipedia.org/wiki/Help:Cheatsheet

    For advice on writing style and formatting in a bullet-point format, see Wikipedia:Styletips; For summaries of some Wikipedia protocols and conventions, see Wikipedia:Dos and don'ts; If you don't want to use wikitext markup, try Wikipedia:VisualEditor instead; To ask a question, see Wikipedia:Questions to locate the appropriate venue(s)

  6. Text normalization - Wikipedia

    en.wikipedia.org/wiki/Text_normalization

    Text normalization is the process of transforming text into a single canonical form that it might not have had before. Normalizing text before storing or processing it allows for separation of concerns, since input is guaranteed to be consistent before operations are performed on it. Text normalization requires being aware of what type of text ...

  7. Bag-of-words model - Wikipedia

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

    The BoW representation of a text removes all word ordering. For example, the BoW representation of "man bites dog" and "dog bites man" are the same, so any algorithm that operates with a BoW representation of text must treat them in the same way. Despite this lack of syntax or grammar, BoW representation is fast and may be sufficient for simple ...

  8. Wikipedia:Manual of Style - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Manual_of_style

    Use of italics should conform to Wikipedia:Manual of Style/Text formatting § Italic type. Do not use articles (a, an, or the) as the first word (Economy of the Second Empire, not The economy of the Second Empire), unless it is an inseparable part of a name (The Hague) or of the title of a work (A Clockwork Orange, The Simpsons).

  9. Wikipedia : Manual of Style/Text formatting

    en.wikipedia.org/.../Text_formatting

    Text formatting in citations should follow, consistently within an article, an established citation style or system. Options include either of Wikipedia's own template-based Citation Style 1 and Citation Style 2, and any other well-recognized citation system. Parameters in the citation templates should be accurate.