| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| 5903328 | 自然語言處理與文件探勘 | Natural Language Processing and Text Mining | 3.0 | 3 |
| 中文概述 Chinese Description | 在各種應用領域中，非結構化的文件相當普遍。如何精確有效地從文件中擷取出重要資訊並分析語意，將有助於彙整不同想法。本課程介紹基本的自然語言處理技術，包括: 語彙組成、語法分析、語意分析等，以及常見的文件探勘方法。除了介紹詞性標註 (POS tagging)、關鍵詞擷取 (keyterm extraction)、中文斷詞 (word segmentation)之外，也將探討不同的字詞與文件表達方式，並應用深度學習方法進行有效的語意分析，如: 情緒分析、意見探勘等。 | |||
| 英文概述 English Description | Unstructured text docuemnts are very common in various applicaton domains. How to extract important information from texts and analyze their meanings is very helpful to aggregate various ideas. In this course, we are going to introduce the basic techniques in Natural Language Processing including: lexical, syntactic, and semantic anlaysis, and common text mining methods. In addition to POS tagging, keyterm extraction, and word segmentation, we are going to discuss different word and document representations, and apply deep learning methods in effective semantic analysis such as sentiment analysis and opinion mining. | |||
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