课程信息
4.1
36 ratings
7 reviews
This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications....
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100% 在线课程

立即开始,按照自己的计划学习。
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Intermediate Level

中级

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建议:5 hours/week

完成时间大约为22 小时
Comment Dots

English

字幕:English, Spanish, Chinese (Simplified)
Globe

100% 在线课程

立即开始,按照自己的计划学习。
Calendar

可灵活调整截止日期

根据您的日程表重置截止日期。
Intermediate Level

中级

Clock

建议:5 hours/week

完成时间大约为22 小时
Comment Dots

English

字幕:English, Spanish, Chinese (Simplified)

教学大纲 - 您将从这门课程中学到什么

1

章节
Clock
完成时间为 3 小时

Course Logistics and the Text Mining Tool for the Course

...
Reading
4 个视频(共 53 分钟), 1 个阅读材料, 1 个测验
Video4 个视频
1.2 Explanations of the y-TextMiner package and the datasets9分钟
1.3 How-to-do: workspace installation and setup15分钟
1.4 How-to-use: the y-TextMiner package (download it at http://informatics.yonsei.ac.kr/yTextMiner/yTextMiner1.2.zip)13分钟
Reading1 个阅读材料
What is Text Mining?10分钟

2

章节
Clock
完成时间为 3 小时

Text Preprocessing

...
Reading
5 个视频(共 67 分钟), 1 个阅读材料, 1 个测验
Video5 个视频
2.2 What is text mining?10分钟
2.3 Description of preprocessing techniques11分钟
2.4 How-to-do: normalization including tokenization and lemmatization20分钟
2.5 How-to-do: N-Grams14分钟
Reading1 个阅读材料
Text Preprocessing10分钟

3

章节
Clock
完成时间为 3 小时

Text Analysis Techniques

...
Reading
6 个视频(共 62 分钟), 2 个阅读材料, 1 个测验
Video6 个视频
3.2 Explanations of named entity recognition11分钟
3.3 Explanations of dependency parsing8分钟
3.4 How-to-do: stopword removal and stemming14分钟
3.5 How-to-do: NER and POS Tagging6分钟
3.6 How-to-do: constituency and dependency parsing9分钟
Reading2 个阅读材料
Stemming and Lemmatization10分钟
Named Entity Recognition10分钟

4

章节
Clock
完成时间为 3 小时

Term Weighting and Document Classification

...
Reading
5 个视频(共 52 分钟), 2 个阅读材料, 1 个测验
Video5 个视频
4.2 Explanations of document classification11分钟
4.3 Explanations of sentiment analysis9分钟
4.4 How-to-do: computation of tf*idf weighting10分钟
4.5 How-to-do: classification with Logistic Regression11分钟
Reading2 个阅读材料
Text Classification10分钟
TF-IDF10分钟
4.1

热门审阅

创建者 KAMay 31st 2017

Excellent theory and hands-on lab codes. It'd be great if you could also cover how-to in other relevant programming languages using R or Python.

讲师

Min Song

Professor
Library & Information Technology

关于 Yonsei University

Yonsei University was established in 1885 and is the oldest private university in Korea. Yonsei’s main campus is situated minutes away from the economic, political, and cultural centers of Seoul’s metropolitan downtown. Yonsei has 3,500 eminent faculty members who are conducting cutting-edge research across all academic disciplines. There are 18 graduate schools, 22 colleges and 133 subsidiary institutions hosting a selective pool of students from around the world. Yonsei is proud of its history and reputation as a leading institution of higher education and research in Asia....

常见问题

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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