Analisis Opini Terhadap Fitur Smartphone Pada Ulasan Website Berbahasa Indonesia
Abstract: 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.
Penulis: Doni Setyawan, Edi
Winarko
Kode Jurnal: jptinformatikadd160297
