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Terms in the Vector-Space Model are called index terms or vocabulary terms.
Terms in the Vector-Space Model are called index terms or vocabulary terms.
True
Each term in a document is assigned a complex-valued weight, wij.
Each term in a document is assigned a complex-valued weight, wij.
False
In the Term-Document Matrix, zero weight for a term indicates it is highly significant in the document.
In the Term-Document Matrix, zero weight for a term indicates it is highly significant in the document.
False
Term Frequency measures how common a term is across documents.
Term Frequency measures how common a term is across documents.
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Inverse Document Frequency (IDF) increases for terms that are common across many documents.
Inverse Document Frequency (IDF) increases for terms that are common across many documents.
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The more frequent a word is used across documents, the higher its IDF score.
The more frequent a word is used across documents, the higher its IDF score.
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In Boolean Retrieval Model, it is easy to control the number of documents retrieved.
In Boolean Retrieval Model, it is easy to control the number of documents retrieved.
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A bag of words representation allows for multiple occurrences of the same word.
A bag of words representation allows for multiple occurrences of the same word.
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In Statistical Models, documents are typically represented by ordered sequences of words.
In Statistical Models, documents are typically represented by ordered sequences of words.
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In the term-document matrix representation, rows represent terms and columns represent documents.
In the term-document matrix representation, rows represent terms and columns represent documents.
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Similarity between a document and a query in the Vector Space Model is determined based on the length of the document.
Similarity between a document and a query in the Vector Space Model is determined based on the length of the document.
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Determining important words in a document is one of the issues addressed by the Vector Space Model.
Determining important words in a document is one of the issues addressed by the Vector Space Model.
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A retrieval model specifies the details of document representation, query representation, and retrieval function.
A retrieval model specifies the details of document representation, query representation, and retrieval function.
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Statistical models are the only type of retrieval models mentioned in the text.
Statistical models are the only type of retrieval models mentioned in the text.
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In the Boolean Model, a document is represented as a collection of phrases.
In the Boolean Model, a document is represented as a collection of phrases.
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One of the preprocessing steps includes converting tokens to their plural forms for accurate indexing.
One of the preprocessing steps includes converting tokens to their plural forms for accurate indexing.
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Filtering tasks involve varied queries on a continuous document stream.
Filtering tasks involve varied queries on a continuous document stream.
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Ad hoc retrieval tasks involve a fixed document corpus with fixed queries.
Ad hoc retrieval tasks involve a fixed document corpus with fixed queries.
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