A Machine Learning mood-o-meter
summary
A real-time sentiment-analysis system built with Apache Spark and Scala, trained on Reddit comments from 2017, to classify text as positive or negative. The project uses predictive modeling to track overall Reddit user mood, identify the most positive and negative subgroups, and explore additional insights from natural language analysis.
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chapters (7)
- 0:00Start
- 19:13SPARK ML
- 20:28MODEL TRAINING
- 26:43FEATURE ENGINEERING
- 35:39NAIVE BAYES
- 45:36NEURAL NETWORKS
- 52:08TAKEAWAYS
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