Linking Experiential Value to Loyalty in Smartphone Industry

Wulandari, Nuri; Sari, Rina Kartika

doi:10.29358/sceco.v0i24.363

Cited by 1 publication

(1 citation statement)

References 5 publications

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“…The development of smartphone in Indonesia, is a pioneer for the growth of mobile applications in Indonesia, Minister of Research and Technology said the number of smartphone users in Indonesia now reaches around 25% of the total population or around 65 million people [5]. This rate is a very interesting number for market opportunities, so that it is used by many people, some people certainly do give positive comments on the smartphone brand, some people comment negatively, therefore a technique and method is needed to know the percentage classification of comments given by the community towards smartphone brands [6].…”

Section: Introductionmentioning

confidence: 99%

Naive bayes algorithm performance for smartphone sentiment analysis in social media

Sarifah¹

2018

IJARLIT

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Indonesia with a population of 250 million is a large market, Millennials tend to be more adaptive to the development of communication technology [1]. There are lot of opportunities that are used by various groups, one of which is the need to use smartphones that can make it easier for people to exchange information [2]. The shift in sales of smartphone brands in Indonesia is influenced by massive advertising carried out by smartphone vendors (smartphone capitalists) to consumers [3]. The enthusiasm of the community in welcoming this platform is so great, lot of comment about smartphone brand stated by public is an interesting thing to be processed to be information. Utilization of that information requires analytical techniques so that the produced information can help many parties. The method used in this study is Naïve Bayes classification method which is a learning technique for data mining algorithms that uses probability and statistical methods [4]. This method is used to classify comments given by the community to smartphone brands. The comments given in this application will later be classified into positive, negative, and neutral comments. The purpose of this study was to find out how much positive, negative and neutral comments the community gave to smartphone brands, so that later it would facilitate the smartphone brand in providing policies or development in the future.

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Section: Introductionmentioning

confidence: 99%