PENENTUAN TRENDING TOPIC BERDASARKAN TEXT STREAM MENGGUNAKAN SUFFIX TREE CLUSTERING

FUAD, RIZA GAMAL and Samsuryadi, Samsuryadi (2019) PENENTUAN TRENDING TOPIC BERDASARKAN TEXT STREAM MENGGUNAKAN SUFFIX TREE CLUSTERING. Undergraduate thesis, Sriwijaya University.

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Abstract

The internet has produced text streams with large and continuous scale. The collection of news is one of the text streams. Text stream processing is processed to extract as much information as possible. Some news refers to the same topic Insufficient resources are major issue for identifying current trends in news topics. To solve this problem, in this research will be determining trending topic on the news using Suffix Tree Clustering (STC). STC has been proved to be a good approach for documents clustering. This method allows sharing of phrases between documents. Suffix Tree Clustering has several stages; document cleaning namely praprocessing and steming, and identification of the base cluster. Each base cluster will be sorted by the number of clusters formed based on the same phrase. This research uses 7 trending topic news on the website www.detik.com. The accuracy obtained in this study was 71%. The f-measure performance obtained is 0.78. The best time obtained in the test is 47 seconds.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Suffix Tree Clustering, Trending Topic, News, Text Mining, Text Stream
Subjects:	T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 1234 not found.
Date Deposited:	08 Aug 2019 08:51
Last Modified:	08 Aug 2019 08:51
URI:	http://repository.unsri.ac.id/id/eprint/3124

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