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Learn how to use proximity search to find documents where two or more words are close to each other. Compare different syntax and operators for proximity search in various search engines.
Learn about word order, the order of the syntactic constituents of a language, and how it varies across languages. Compare the six basic word orders (SOV, SVO, VSO, VOS, OVS, OSV) and their distribution, flexibility, and pragmatic functions.
A model of text that uses an unordered collection of words to represent documents for natural language processing and information retrieval. Learn the definition, word order, implementations and examples of the bag-of-words model.
The inverse document frequency is a measure of how much information the word provides, i.e., how common or rare it is across all documents. It is the logarithmically scaled inverse fraction of the documents that contain the word (obtained by dividing the total number of documents by the number of documents containing the term, and then taking ...
A document-term matrix is a mathematical matrix that describes the frequency of terms that occur in each document in a collection. Learn about its history, applications, weighting schemes, and related concepts such as term-document matrix and bag of words.
Candidate documents from the corpus can be retrieved and ranked using a variety of methods. Relevance rankings of documents in a keyword search can be calculated, using the assumptions of document similarities theory, by comparing the deviation of angles between each document vector and the original query vector where the query is represented as a vector with same dimension as the vectors that ...
Full-text search is a technique for searching a single document or a collection of documents based on all the words in them. Learn about indexing, precision, recall, false positives, and querying tools for full-text search.
Zipf's law is an empirical law that relates the frequency of a value to its rank in a sorted list. It is named after linguist George Zipf and applies to many natural and artificial phenomena, such as word frequencies, city sizes, and income distributions.