Sentiment Analysis with Deep Learning, ML or Lexicon Based
summary
Hands-on workshop building a sentiment-analysis app in KNIME Analytics Platform. It covers three concrete approaches: a code-free Deep Learning pipeline using KNIME’s Keras integration, traditional Machine Learning implemented with KNIME native nodes, and a Lexicon-based sentiment analysis workflow.
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chapters (8)
- 0:00Sentiment analysis intro
- 14:29Analytics platform overview
- 27:25Text mining extensions
- 45:14Lexicon vs ML approaches
- 55:33Pros and cons of both methods
- 1:03:26Hands-on workflows
- 1:19:59Advanced filtering and classification
- 1:27:13Summary and Q&A
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