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Understanding Automatic Indexing Techniques by Sunitha Rekha is a document available to read on EtoBox.

Automatic indexing analyzes items to extract information for permanent storage in an index. There are four main classes of automatic indexing: statistical indexing, natural language, concept linkages, and hypertext linkages. Statistical indexing uses the frequency of terms to calculate relevance, with approaches including probabilistic weighting, vector weighting, and inverse document frequency. Vector weighting represents items as vectors of term weights. Inverse document frequency adjusts weights based on

Author

Sunitha Rekha

Language

EN