Loh, Jia Jing (2015) Mobile phone sale predictor using social media data from YouTube. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)
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Abstract
The basis of this project is to find out the impact of social media data on sale forecasting. Leveraging the power of YouTuber on tech reviewing to forecast the sale of Apple iPhones. First, the media data like views counts, number of dislike and like on the video about iPhones are collected through YouTube API. System will then transform these unstructured data to useful informations. Sentiment analysis is also carried out to determine the positivity of user’s comment. Combine all the information collected and visualize on interactive real-time dashboard are also one of the features of the system. In the end, we will use the historical sale report of the devices and the information to generate a best model to forecast the sale.
| Item Type: | Final Year Project (Project Report) |
|---|---|
| Uncontrolled Keywords: | Social media data, Sale forecasting, YouTube API, Sentiment analysis, Interactive dashboard |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics |
| Divisions: | Library > Final Year Project > FTMK |
| Depositing User: | Norfaradilla Idayu Ab. Ghafar |
| Date Deposited: | 21 Nov 2024 03:16 |
| Last Modified: | 21 Nov 2024 03:16 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/32521 |
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