Wibowo, Wahyu Catur and Widodo, Widodo (2017) Hashtag and Highest Scored Terms for Expanding Query. Journal of Information and Communication Technology (JICT), 16 (1). pp. 121-135. ISSN 1675-414X

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Abstract

Communicating in short messages, such as using microblogs, was becoming more popular currently. Twitter https://twitter.com supports microblogs and retrieval of the blogs by users. To retrieve Twitter documents, we need specific strategies due to its specific characteristics. One new strategy for improving the effectiveness of twitter document retrieval is using the query expansion technique. This paper elaborates query expansion in twitter document retrieval by using the hashtag. We compared the effectiveness of query expansion in four different scenarios: the baseline result using no query expansion, highest scored term in terms of frequency-inverse document frequency (tfidf), maximum hashtag occurrence, and combination of the highest scored-term and the maximum hashtag. The results show that the combination of the maximum term in tfidf and the maximum hashtag performs better in retrieving relevant documents than the baseline.

Item Type:	Article
Uncontrolled Keywords:	Query expansion, maximum hashtag, maximum term
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Mrs Nurin Jazlina Hamid
Date Deposited:	01 Jun 2023 10:02
Last Modified:	01 Jun 2023 10:02
URI:	https://repo.uum.edu.my/id/eprint/29510

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