Probabilistic Automatic Indexing by Learning from Human Indexers.

Robertson, S. E.; Harding, P.

Notes FAQ Contact Us

Back to results

Peer reviewed

ERIC Number: EJ315660

Record Type: CIJE

Publication Date: 1984

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: N/A

EISSN: N/A

Available Date: N/A

Probabilistic Automatic Indexing by Learning from Human Indexers.

Robertson, S. E.; Harding, P.

Journal of Documentation, v40 n4 p264-70 Dec 1984

Presents adaptation of a probabilistic theoretical model previously used in relevance feedback for use in automatic indexing of documents (in the sense of imitating) human indexers. Methods for model application are proposed, independence assumptions used in the model are interpreted, and the probability of a dependence model is discussed. (Author/MBR)

Descriptors: Automatic Indexing, Classification, Information Retrieval, Mathematical Models, Methods, Probability, Relevance (Information Retrieval), Theories

Publication Type: Journal Articles; Reports - Research

Education Level: N/A

Audience: Researchers

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

Author Affiliations: N/A