Penentuan Aspek yang Berpengaruh Terhadap Produk Smartphone Berdasarkan Ulasan Berbasis Tekstual

Sagala, Hetthroh and Toba, Hapnes (2021) Penentuan Aspek yang Berpengaruh Terhadap Produk Smartphone Berdasarkan Ulasan Berbasis Tekstual. Jurnal Teknik Informatika dan Sistem Informasi, 7 (1). pp. 287-295. ISSN 2443-2229

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Abstract

With the rapid development of new technologies in smartphones, understanding market trends has become an increasingly difficult task. In these circumstances, online product reviews that can reflect consumer sentiment about the product has been a concern for now. Online review analysis can help sellers understand consumer interests and desires prior to launching a new product. This research contributes to determine the state of the smartphone’s market by creating a method to find important aspects of a smartphone. The data source comes from the Amazon e-commerce web with four predefined smartphone brands. In this study, the authors used topic modeling with the LDA algorithm and sentiment analysis with VADER to find aspects of a smartphone and its sentiment classification. From the 10 scenarios made in this reserach, it was found out three aspects that always appear, namely: the screen, camera, and battery aspects. It is concluded that these three aspects are the most important of a smartphone based on textual reviews.

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