Type of Credit: Partially Required
Credit(s)
Number of Students
This course covers a broad range of topics in NLP and IR. Practical applications, fundamental algorithms and mathematical models are introduced. To raise students' study motivation, besides midterm and final exam, students are requested to be involved in one hands-on IR projects near the midterm and another NLP project in the end of semester.
能力項目說明
As social media and social network sites have become one of the major means of communication and content producing, researchers can access rich and heterogeneous information from the social media and social network sites that include not only text content but also social relationships among persons. The content on social media and social network websites is different from the others in terms of style, tone, purpose. Therefore, it is not suitable for applying existing natural language processing (NLP) or information retrieval (IR) techniques on such content. Therefore, new challenges for NLP and IR arises in social media and social networks, including summarization of posts/replies, relationship extraction, social structure and position analysis, opinion retrieval, sentiment analysis, entity resolution, trend analysis, etc. It is thus important to develop new algorithms for addressing the above needs.
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
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請洽授課教師。
請洽授課教師。