CENG 464
Text Mining
This course provides an opportunity to learn key components of text mining and analytics aided by the real-world datasets and the text mining toolkit written in Python. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling.
Topics |
Introduction |
Steps in NLP |
Steps in NLP |
Document Representation |
Document Representation |
Text Classification |
Text Categorization |
Data Collection |
Topic Modelling |
Text Summarization |
Text Generation |
Social Media and Network Analysis |
Sentiment Analysis |
Text Visualization |
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