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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yu-Chieh Wu Jie-Chi Yang |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Commun. & Manage., Ming Chuan Univ., Taipei, Taiwan (Yu-Chieh Wu) || Grad. Inst. of Network Learning Technol., Nat. Central Univ., Jhongli, Taiwan (Jie-Chi Yang) |
| Abstract | Reading news is one of the most important learning activities in the education of the communication schools. Learners learn to improve the awareness and writing essay ability through observing contents inside the news. How to create the learning materials in a short time is still a gap between traditional communication education and information technology. In addition, the most challenge is that there embeds a huge amount of commercial ads and external links within a news page which usually mislead learners to read and explore further topics. To solve this, in this paper, we proposed a clean and pure news reading environment which makes it possible to touch up-to-date global news in our news corpus. It automatically crawls the daily news through the web without additional human effort. To preserve the news content, we also design a content extraction algorithm to keep the news content in the database is clean to read. Instructors can easily prepare and organize a set of news topics in this platform. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 199 |
| Ending Page | 203 |
| File Size | 409244 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769550091 |
| DOI | 10.1109/ICALT.2013.61 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | HTML Data mining Testing Mathematical model Educational institutions Accuracy language learning news reading; communication education; automatic news content extraction |
| Content Type | Text |
| Resource Type | Article |
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