Analisis Opini Terhadap Fitur Smartphone Pada Ulasan Website Berbahasa Indonesia
Through online stores, consumers can give an opinion of a product, one of the best-selling products is smartphone. Their opinions become valuable and can be worthwhile to know the advantages or disadvantages of products based on the user's experience. Therefore, in order to utilize the data of...
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Format: | EJournal Article |
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IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.,
2016-07-31.
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LEADER | 02574 am a22003013u 4500 | ||
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001 | IJCSS_17485 | ||
042 | |a dc | ||
100 | 1 | 0 | |a Setyawan, Doni |e author |
100 | 1 | 0 | |e contributor |
700 | 1 | 0 | |a Winarko, Edi |e author |
245 | 0 | 0 | |a Analisis Opini Terhadap Fitur Smartphone Pada Ulasan Website Berbahasa Indonesia |
260 | |b IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia., |c 2016-07-31. | ||
500 | |a https://jurnal.ugm.ac.id/ijccs/article/view/17485 | ||
520 | |a Through online stores, consumers can give an opinion of a product, one of the best-selling products is smartphone. Their opinions become valuable and can be worthwhile to know the advantages or disadvantages of products based on the user's experience. Therefore, in order to utilize the data of customers' opinions, it is necessary to create a system that automatically performs mining and summarizing opinions on smartphone product. The system consist of five parts: data collection, preprocessing review, feature mining, analysis of opinions and then visualize the results. Data collection is taking data reviews website using web scraping, preprocessing review is for cleaning data reviews. Feature mining stage will find features in the reviews with apriori algorithm to produce frequent item set, then analyze the opinion using lexicon based, language rule and score function. The result will be shown in graphical form. From the testing of feature mining obtained average recall score at 0.63 and precision at 0.72. It depends on good or bad quality of reviews. The results of testing accuracy opinion analysis shows high value with accuracy 81.76 %. The technique showed good results with opinion data which is labeled, using language rule and the implementation of score function. | ||
540 | |a Copyright (c) 2016 IJCCS - Indonesian Journal of Computing and Cybernetics Systems | ||
540 | |a http://creativecommons.org/licenses/by-sa/4.0 | ||
546 | |a eng | ||
690 | |||
690 | |a smartphone, review, frequent itemset, linguistic rule, opinion analysis | ||
655 | 7 | |a info:eu-repo/semantics/article |2 local | |
655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
655 | 7 | |2 local | |
786 | 0 | |n IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 10, No 2 (2016): July; 183-194 | |
786 | 0 | |n 2460-7258 | |
786 | 0 | |n 1978-1520 | |
787 | 0 | |n https://jurnal.ugm.ac.id/ijccs/article/view/17485/11690 | |
856 | 4 | 1 | |u https://jurnal.ugm.ac.id/ijccs/article/view/17485 |z Get Fulltext |
856 | 4 | 1 | |u https://jurnal.ugm.ac.id/ijccs/article/view/17485/11690 |z Get Fulltext |