Automatic tagging of texts with contextual factors using knowledge concepts

Prasath, Rajendra and O'Reilly, Philip and Duane, Aidan (2013) Automatic tagging of texts with contextual factors using knowledge concepts. In: Mining Intelligence and Knowledge Exploration - First International Conference, MIKE 2013, Proceedings :. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . UNSPECIFIED, IND, pp. 687-694. ISBN 9783319038438

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We present a method to perform automatic tagging of contextual factors associated with mobile payments data. Users specify a short description about the contextual factors interesting to them. The proposed system characterizes these factors and generates the knowledge concepts, similar to [1,2], but with the help of corpus statistics. These knowledge concepts describe the factors in terms of multi-faceted information search. Secondly, given a query, the underlying retrieval system retrieves top k texts pertaining to user information needs. Then based on the similarity between each of the knowledge concepts and the best matching texts, the context matching score is computed. Then the ranked sequence of contextual tags are assigned to the each retrieved text. The experimental results show that the proposed approach characterizes the context from user specified factors and performs the contextual tagging of the retrieved texts in a better way.

Item Type: Book Section
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/2600/2614
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Depositing User: Admin SSL
Date Deposited: 19 Oct 2022 23:17
Last Modified: 07 Jun 2023 18:39

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