enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

2. Bag-of-words model - Wikipedia

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

   It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision. [2]

3. Document-term matrix - Wikipedia

   en.wikipedia.org/wiki/Document-term_matrix

   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. For this reason, document-term matrices are usually stored in a sparse matrix format.

4. Word n-gram language model - Wikipedia

   en.wikipedia.org/wiki/Word_n-gram_language_model

   If we convert strings (with only letters in the English alphabet) into character 3-grams, we get a -dimensional space (the first dimension measures the number of occurrences of "aaa", the second "aab", and so forth for all possible combinations of three letters). Using this representation, we lose information about the string.

5. Latent semantic analysis - Wikipedia

   en.wikipedia.org/wiki/Latent_semantic_analysis

   In the formula, A is the supplied m by n weighted matrix of term frequencies in a collection of text where m is the number of unique terms, and n is the number of documents. T is a computed m by r matrix of term vectors where r is the rank of A—a measure of its unique dimensions ≤ min(m,n).

6. Frequency (statistics) - Wikipedia

   en.wikipedia.org/wiki/Frequency_(statistics)

   A frequency distribution shows a summarized grouping of data divided into mutually exclusive classes and the number of occurrences in a class. It is a way of showing unorganized data notably to show results of an election, income of people for a certain region, sales of a product within a certain period, student loan amounts of graduates, etc.

7. Word embedding - Wikipedia

   en.wikipedia.org/wiki/Word_embedding

   In natural language processing, 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]

8. String-searching algorithm - Wikipedia

   en.wikipedia.org/wiki/String-searching_algorithm

   A simple and inefficient way to see where one string occurs inside another is to check at each index, one by one. First, we see if there is a copy of the needle starting at the first character of the haystack; if not, we look to see if there's a copy of the needle starting at the second character of the haystack, and so forth.

9. Template:Str number/doc - Wikipedia

   en.wikipedia.org/wiki/Template:Str_number/doc

   Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file