Hands-on Text Mining and Analytics
Offered By: Yonsei University via Coursera
Course Description
Overview
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.
Syllabus
- Course Logistics and the Text Mining Tool for the Course
- Text Preprocessing
- Text Analysis Techniques
- Term Weighting and Document Classification
- Sentiment Analysis
- Topic Modeling
Taught by
Min Song
Tags
Related Courses
Generating New Recipes using GPT-2Coursera Project Network via Coursera Interactive Word Embeddings using Word2Vec and Plotly
Coursera Project Network via Coursera Feature Engineering for NLP in Python
DataCamp Performing Feature Engineering with MATLAB
Pluralsight Natural Language Processing
YouTube