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Hands-on Text Mining and Analytics
Coursera
Course
Unknown

Hands-on Text Mining and Analytics

Yonsei University

This course offers hands-on learning of text mining components using real datasets and a Java-based text mining toolkit for practical analytics.

Unknown6 weeksEnglish15,951 enrolled

About this Course

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

What You'll Learn

  • Develop effective text mining applications
  • Gain deep understanding of text mining components
  • Apply analytics using real-world datasets
  • Use y-TextMiner toolkit in lab sessions for application development

Prerequisites

  • Basic familiarity with the topic and its common terminology
  • Readiness to practice through applied exercises or case-based work

Instructors

M

Min Song

Professor

Topics

Data Analysis
Data Science
Software Development
Computer Science
Unsupervised Learning
Machine Learning Methods
Supervised Learning
Natural Language Processing
Text Mining
Java

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علوم البيانات
تطوير البرمجيات
علوم الحاسوب
التعلم غير المراقب
طرق تعلم الآلة
التعلم المراقب
معالجة اللغة الطبيعية
Text Mining
Java

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