課程信息

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中級
完成時間大約為19 小時
英語(English)
字幕:英語(English), 西班牙語(Spanish), 中文(簡體)
可分享的證書
完成後獲得證書
100% 在線
立即開始,按照自己的計劃學習。
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為19 小時
英語(English)
字幕:英語(English), 西班牙語(Spanish), 中文(簡體)

提供方

延世大学 徽標

延世大学

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 3 小時

Course Logistics and the Text Mining Tool for the Course

完成時間為 3 小時
4 個視頻 (總計 53 分鐘), 1 個閱讀材料, 1 個測驗
4 個視頻
1.2 Explanations of the y-TextMiner package and the datasets9分鐘
1.3 How-to-do: workspace installation and setup15分鐘
1.4 How-to-use: the y-TextMiner package (download it at http://informatics.yonsei.ac.kr/yTextMiner/yTextMiner1.2.zip)13分鐘
1 個閱讀材料
What is Text Mining?10分鐘
2

2

完成時間為 3 小時

Text Preprocessing

完成時間為 3 小時
5 個視頻 (總計 67 分鐘), 1 個閱讀材料, 1 個測驗
5 個視頻
2.2 What is text mining?10分鐘
2.3 Description of preprocessing techniques11分鐘
2.4 How-to-do: normalization including tokenization and lemmatization20分鐘
2.5 How-to-do: N-Grams14分鐘
1 個閱讀材料
Text Preprocessing10分鐘
3

3

完成時間為 3 小時

Text Analysis Techniques

完成時間為 3 小時
6 個視頻 (總計 62 分鐘), 2 個閱讀材料, 1 個測驗
6 個視頻
3.2 Explanations of named entity recognition11分鐘
3.3 Explanations of dependency parsing8分鐘
3.4 How-to-do: stopword removal and stemming14分鐘
3.5 How-to-do: NER and POS Tagging6分鐘
3.6 How-to-do: constituency and dependency parsing9分鐘
2 個閱讀材料
Stemming and Lemmatization10分鐘
Named Entity Recognition10分鐘
4

4

完成時間為 3 小時

Term Weighting and Document Classification

完成時間為 3 小時
5 個視頻 (總計 52 分鐘), 2 個閱讀材料, 1 個測驗
5 個視頻
4.2 Explanations of document classification11分鐘
4.3 Explanations of sentiment analysis9分鐘
4.4 How-to-do: computation of tf*idf weighting10分鐘
4.5 How-to-do: classification with Logistic Regression11分鐘
2 個閱讀材料
Text Classification10分鐘
TF-IDF10分鐘

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