Analisis Opini Terhadap Fitur Smartphone Pada Ulasan Website Berbahasa Indonesia; Opinion Analysis of Smartphone Features in Indonesian Website Reviews

SETYAWAN, DONI, Edi Winarko

2016 | Disertasi | FMIPA

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, features mining, analysis of opinions and then visualize the results. Data collection is taking data reviews website using web scraping, preprocessing review is for cleaning the data reviews. Feature mining stage will find features in the reviews with apriori algorithm to produce frequent itemset, then analyze the opinion using lexicon based, language rule and score function. The result will be shown in graphical form. The results of testing running time opinion analysis strongly influenced by the amount of a feature and the number of sentences on reviews, the average fastest time is 2,444 seconds and time the slowest is 5,989 seconds. From the testing of feature mining obtained the averge 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 used technique showed good results with opinion data which is labeled, using language rule and the implementation of score function.

Kata Kunci : smartphone, review, frequent itemset, language rule, opinion analysis