Textual Analysis in Finance

Contents

Textual Analysis in Finance#

This chapter covers techniques for analyzing text data in financial applications.

Note

This chapter is under construction.

Topics to Cover#

  • Text preprocessing and cleaning

  • Tokenization and stemming

  • Sentiment analysis

  • Bag of words and TF-IDF

  • Analyzing earnings calls and SEC filings

  • News sentiment and stock returns

  • Word embeddings (Word2Vec, GloVe)

  • Topic modeling (LDA)

# Placeholder for imports
import pandas as pd
import numpy as np
Contents