| Autor: |
Md. Ahsan Habib, Hossain Md. Arafat, Kawsar Ahmed, Didar Hossain Sagar, Bikash Kumar Paul, Md. Zamilur Rahman |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). |
| Popis: |
The objective of the research study is to predict the popularity of printed as well as online news articles that are publicized on the online social network. Keywords are extracted from the collected data sets and compared with trained data sets. The popularity of any news contents are calculated through the proposed prediction model according to training data sets and lifetime of that news. 100 newly published news items have collected and analyzed them. We have found an accuracy of 70% which is more than prior studies. Our proposed system will make a significant way for the user to explore the news articles. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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