À propos de ce cours
4.1
36 notes
•
7 avis
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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Intermediate Level

Niveau intermédiaire

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Approx. 22 hours to complete

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Comment Dots

English

Sous-titres : English, Spanish, Chinese (Simplified)...
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Intermediate Level

Niveau intermédiaire

Clock

Approx. 22 hours to complete

Recommandé : 5 hours/week...
Comment Dots

English

Sous-titres : English, Spanish, Chinese (Simplified)...

Programme du cours : ce que vous apprendrez dans ce cours

Week
1
Clock
3 heures pour terminer

Course Logistics and the Text Mining Tool for the Course

...
Reading
4 vidéos (Total 53 min), 1 lecture, 1 quiz
Video4 vidéos
1.1 Description of the course including the objectives and outcomes14 min
1.2 Explanations of the y-TextMiner package and the datasets9 min
1.3 How-to-do: workspace installation and setup15 min
1.4 How-to-use: the y-TextMiner package (download it at http://informatics.yonsei.ac.kr/yTextMiner/yTextMiner1.2.zip)13 min
Reading1 lecture
What is Text Mining?10 min
Week
2
Clock
3 heures pour terminer

Text Preprocessing

...
Reading
5 vidéos (Total 67 min), 1 lecture, 1 quiz
Video5 vidéos
2.1 Description of possible project ideas10 min
2.2 What is text mining?10 min
2.3 Description of preprocessing techniques11 min
2.4 How-to-do: normalization including tokenization and lemmatization20 min
2.5 How-to-do: N-Grams14 min
Reading1 lecture
Text Preprocessing10 min
Week
3
Clock
3 heures pour terminer

Text Analysis Techniques

...
Reading
6 vidéos (Total 62 min), 2 lectures, 1 quiz
Video6 vidéos
3.1 Description of stopword removal, stemming, and POS tagging12 min
3.2 Explanations of named entity recognition11 min
3.3 Explanations of dependency parsing8 min
3.4 How-to-do: stopword removal and stemming14 min
3.5 How-to-do: NER and POS Tagging6 min
3.6 How-to-do: constituency and dependency parsing9 min
Reading2 lectures
Stemming and Lemmatization10 min
Named Entity Recognition10 min
Week
4
Clock
3 heures pour terminer

Term Weighting and Document Classification

...
Reading
5 vidéos (Total 52 min), 2 lectures, 1 quiz
Video5 vidéos
4.1 Explanations of TF*IDF9 min
4.2 Explanations of document classification11 min
4.3 Explanations of sentiment analysis9 min
4.4 How-to-do: computation of tf*idf weighting10 min
4.5 How-to-do: classification with Logistic Regression11 min
Reading2 lectures
Text Classification10 min
TF-IDF10 min
4.1

Meilleurs avis

par KA•May 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.

Enseignant

Min Song

Professor
Library & Information Technology

À propos 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....

Foire Aux Questions

  • 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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