Acerca de este Curso
4.1
36 calificaciones
7 revisiones
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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Fechas límite flexibles

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Intermediate Level

Nivel intermedio

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Approx. 22 hours to complete

Sugerido: 5 hours/week...
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Subtítulos: English, Spanish, Chinese (Simplified)...
Globe

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Calendar

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Intermediate Level

Nivel intermedio

Clock

Approx. 22 hours to complete

Sugerido: 5 hours/week...
Comment Dots

English

Subtítulos: English, Spanish, Chinese (Simplified)...

Programa - Qué aprenderás en este curso

Week
1
Clock
3 horas para completar

Course Logistics and the Text Mining Tool for the Course

...
Reading
4 videos (Total: 53 min), 1 reading, 1 quiz
Video4 videos
1.2 Explanations of the y-TextMiner package and the datasets9m
1.3 How-to-do: workspace installation and setup15m
1.4 How-to-use: the y-TextMiner package (download it at http://informatics.yonsei.ac.kr/yTextMiner/yTextMiner1.2.zip)13m
Reading1 lectura
What is Text Mining?10m
Week
2
Clock
3 horas para completar

Text Preprocessing

...
Reading
5 videos (Total: 67 min), 1 reading, 1 quiz
Video5 videos
2.2 What is text mining?10m
2.3 Description of preprocessing techniques11m
2.4 How-to-do: normalization including tokenization and lemmatization20m
2.5 How-to-do: N-Grams14m
Reading1 lectura
Text Preprocessing10m
Week
3
Clock
3 horas para completar

Text Analysis Techniques

...
Reading
6 videos (Total: 62 min), 2 readings, 1 quiz
Video6 videos
3.2 Explanations of named entity recognition11m
3.3 Explanations of dependency parsing8m
3.4 How-to-do: stopword removal and stemming14m
3.5 How-to-do: NER and POS Tagging6m
3.6 How-to-do: constituency and dependency parsing9m
Reading2 lecturas
Stemming and Lemmatization10m
Named Entity Recognition10m
Week
4
Clock
3 horas para completar

Term Weighting and Document Classification

...
Reading
5 videos (Total: 52 min), 2 readings, 1 quiz
Video5 videos
4.2 Explanations of document classification11m
4.3 Explanations of sentiment analysis9m
4.4 How-to-do: computation of tf*idf weighting10m
4.5 How-to-do: classification with Logistic Regression11m
Reading2 lecturas
Text Classification10m
TF-IDF10m
4.1

Principales revisiones

por 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.

Instructor

Min Song

Professor
Library & Information Technology

Acerca de 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....

Preguntas Frecuentes

  • 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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