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Automatic Extraction of Keywords from Web Resources


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1 Department of Information Science, University of Madras, Chennai 600 005, India
     

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This paper describes an experiment for the automatic identification and extraction of keywords from web resources, specifically HTML document. A natural language parser capable of extracting Iceywords from HTML texts in a domain would be useful in analyzing document content to support and facilitate information retrieval. A computer program - Autolndex -was developed to process and extract keywords from HTML texts. Evaluation shows that Autolndex works fairly well in terms of identification, recall and accuracy. The processing speed of the software is also at acceptable level.
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  • Automatic Extraction of Keywords from Web Resources

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Authors

G. Velumani
Department of Information Science, University of Madras, Chennai 600 005, India
K. S. Raghavan
Department of Information Science, University of Madras, Chennai 600 005, India

Abstract


This paper describes an experiment for the automatic identification and extraction of keywords from web resources, specifically HTML document. A natural language parser capable of extracting Iceywords from HTML texts in a domain would be useful in analyzing document content to support and facilitate information retrieval. A computer program - Autolndex -was developed to process and extract keywords from HTML texts. Evaluation shows that Autolndex works fairly well in terms of identification, recall and accuracy. The processing speed of the software is also at acceptable level.

References