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This is an application which is an implementation of Binary Term Document Incidence Matrix. You can apply different queries on specified documents.

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Binary Term Document Incidence Matrix

Binary Term Document Incidence Matrix is a well known solution model for Information Retrival Problem.
The Boolean retrieval model is a model for information retrieval in which we can pose any query which is in the form of a Boolean expression of terms, that is, in which terms are combined with the operators and ( & ) , or ( | ) , and not( ! ). The model views each document as just a set of words.

see live demo here

Steps to follow

  1. Select numeber of documents ( between 2-9 )
  2. Give Names to those docs. and provide appropriate content of it.
  3. Type your Query and Hit apply.

Rules for query

  • You can use opeartors & for Logical AND, | for logical OR, ! for Logical NOT
  • You need to put tokens in between tags ( Example. <token> )
  • You can use only Round Brackets ( ) for evaluation priority of the sub expression.

Query Exmaple

// query in layman terms.
Brutus AND Caesar AND NOT Calpurnia

//query for this application
<Brutus> & <Caesar> & !<Calpurnia>
		or
(<Brutus> & <Caesar>) & (!<Calpurnia>)

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This is an application which is an implementation of Binary Term Document Incidence Matrix. You can apply different queries on specified documents.

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