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Session 1: Workflow and ML regression |
Interactive slides |
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R code: Quarto HTML |
Python code: Jupyter Quarto HTML |
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Session 2: Classification |
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R code: Quarto HTML |
Python code: Jupyter Quarto HTML |
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Session 3: Causal ML and measurement |
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R code: Quarto HTML |
Python code: Jupyter Quarto HTML |
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Session 4: Traditional NLP and Linguistics |
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R code: Quarto HTML |
Python code: Jupyter Quarto HTML |
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Session 5: Embeddings |
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R code: Quarto HTML |
Python code: Jupyter Quarto HTML |
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Implementing word2vec in Colab |
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Session 6: Topic modeling |
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Python code for LDA: Jupyter Quarto HTML |
R code for STM and ETM: Quarto HTML |
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Session 7: Encoder Transformers (BERT) |
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Python code, BERTopic: Jupyter Quarto HTML |
BERTopic visualizations: base topics, base heatmap, base time, base class, custom topics, custom heatmap |
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Python code for FinBERT usage (Colab) |
Pytorch code for FinBERT fine-tuning (Colab) |
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Python code, FinBERT fine-tuning on new data: Jupyter Quarto HTML |
Python code, FinBERT inference on new data: Jupyter Quarto HTML |
