Prerequisites:
None, though some background in Text Analysis and Python will be helpful.
Overview:
Are you ready to take your text analysis skills to the next level? This hands-on workshop is designed for participants with foundational knowledge of text analysis and Python. The course will provide a quick refresher on essential topics before focusing on implementing text analysis using Python tools like NLTK (Natural Language Toolkit) and SpaCy.
Participants will learn to:
- Preprocess text data using techniques like tokenization, lemmatization, and part-of-speech tagging.
- Analyze text with methods such as word frequency analysis, sentiment analysis, topic modeling, and text classification using real-world datasets.
Contact information:
Please contact mrsmith@rice.edu if you have questions about the Data@Rice workshop series.
Date/Time
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Location
Fondren B43 (Collaboration Space)
Registration Form