Enhancing the Effectiveness of Topic Detection Model by Augmenting Keywords Based on DBpedia
碩士 === 國立中興大學 === 資訊科學與工程學系 === 105 === The rapid growth of information, especially from e-news and social media, has resulted in the so-called information overloading for the users. Therefore, topic model emerged as an effective method for extracting topics from unstructured text documents. In gene...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/39738267288719226393 |