Natural Language Processing with Python (3-part series) – Part 3 of 3 – 2022-05-27
Workshop dates were May 23, May 25, and May 27, 2022, 10:00 AM – 12:00 PM.
By the end of this series, you should be able to:
- Use popular NLP frameworks in Python, including Gensim and spaCy
- Explain key concepts and terminology in NLP, including dependency parsing, named entity recognition, and word embedding
- Process texts to glean information about sentiment, subject, and style
- Classify texts on the basis of their features
- Produce models of word meanings from a corpus
- Perform a few core NLP tasks including keyword analysis, relation extraction, document similarity analysis, and text summarization.
Software needed: Python; Google Colab (instructors will provide notebooks and data).
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