專書單篇
| 學年 | 113 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2025-01-10 |
| 作品名稱 | Text Mining Techniques and Natural Language Processing |
| 作品名稱（其他語言） | |
| 著者 | Tzu-Chia Chen |
| 單位 | |
| 出版者 | John Wiley & Sons |
| 著錄名稱、卷期、頁數 | Natural Language Processing for Software Engineering, Chapter 7. |
| 摘要 | Text mining is an important branch of data mining that is used to analyze the text data. Text data is any type of data like structured data, unstructured data, and semi-structured data. All types of data are collected from different sources such as multimedia applications, mobile apps, digital systems, etc. These data are beneficial to get a good insight, meaningful results. We use data mining techniques like Support Vector Machine (SVM), Random Forest (RF), Multilayer Perception (MLP), Naive Bayes (NB), etc. to analyze the hidden relationship between data. We use three kinds of data types in text mining. |
| 關鍵字 | |
| 語言 | en |
| ISBN | 9781394272440 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/126670 ) |