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A Comparison of Indonesia’s E-Commerce Sentiment Analysis for Marketing Intelligence Effort (case study of Bukalapak, Tokopedia and Elevenia)
| Content Provider | Semantic Scholar |
|---|---|
| Author | Alamsyah, Andry Saviera, Fatma |
| Copyright Year | 2018 |
| Abstract | The rapid growth of e-commerce market in Indonesia, making various e-commerce companies appear and there has been high competition among them. Marketing intelligence is important activity to measure competitive position. One element of marketing intelligence is to assess customer satisfaction. Many Indonesian customers express their sense of satisfaction or dissatisfaction towards the company through social media. Hence, using social media data, it provides a new practical way to measure marketing intelligent effort. This research performs sentiment analysis using naive bayes classifier classification method with TF-IDF weighting. We compare the sentiments towards of top-3 e-commerce sites visited companies, they are Bukalapak, Tokopedia and Elevenia. We use Twitter data for sentiment analysis because it's faster, cheaper and easier from both the customer and the researcher side. The purpose of this research is to find out how to process the huge customer sentiment Twitter to become useful information for the e-commerce company, and which of those top-3 e-commerce companies has the highest level of customer satisfaction. From the experiment results, it shows the method can be used to classify customer sentiments in social media Twitter automatically and Elevenia is the highest e-commerce with customer satisfaction. |
| File Format | PDF HTM / HTML |
| Volume Number | 1 |
| Alternate Webpage(s) | https://libraryeproceeding.telkomuniversity.ac.id/index.php/scbtii/article/download/5501/5482 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
