Hashtag and Highest Scored Terms for Expanding Query

Authors

  • Wahyu Catur Wibowo Faculty of Computer Science University of Indonesia, Indonesia
  • Widodo Widodo Study Program of Informatics Engineering Education Universitas Negeri Jakarta, Indonesia

DOI:

https://doi.org/10.32890/jict2017.16.1.7

Keywords:

Query expansion, maximum hashtag, maximum term

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 scoredterm in terms of frequency-inverse document frequency (tfidf), maximum hashtag occurance, 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.

 

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Published

31-05-2017

Issue

Vol. 16 No. 1 (2017): Journal of Information and Communication Technology (JICT) Vol.16, No.1, June 2017

Section

Articles

How to Cite

Wibowo, W. C., & Widodo, W. (2017). Hashtag and Highest Scored Terms for Expanding Query. Journal of Information and Communication Technology, 16(1), 121-135. https://doi.org/10.32890/jict2017.16.1.7

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Identifiers DOI 10.32890/jict2017.16.1.7 OpenAlex W4214767541