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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Implementation and Testing Details of Document Classification

Implementation and Testing Details of Document Classification
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Copyright: 2021
Pages: 11
Source title: Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities
Source Author(s)/Editor(s): Dimple Valayil Paul (Department of Computer Science, Dnyanprassarak Mandal's College and Research Centre, Goa University, Goa, India)
DOI: 10.4018/978-1-7998-3772-5.ch010


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It is trivial to achieve a recall of 100% by returning all documents in response to any query. Therefore, recall alone is not enough, but one needs to measure the number of non-relevant, for example by computing the precision. The analysis was performed for 30 documents to ensure the stability of precision and recall values. It is observed that the precision of large documents is less than a moderate length document, in the sense that some unimportant keywords get extracted. The reason for this may be attributed to the frequent occurrence and its unimportant role in the sentence.

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