This Jupyter Notebook project uses Python's re (regular expression) and nltk (Natural Language Toolkit) packages to analyze Leo Tolstoy's classic novel, "War and Peace, vol. 1" in the original Russian language.
Before running this notebook on your local machine, you will need to clone this repository. You might also need to install the following packages:
- nltk: for natural language processing
pip install nltk
The notebook contains several code cells that analyze the text of the novel using regular expressions and NLTK.
This Jupyter Notebook project demonstrates how regular expressions and the NLTK package can be used to analyze the text of a classic novel in a foreign language. By using regular expressions to extract words and NLTK to process them, we were able to identify the most common words in the novel and remove common stopwords, as well as determine the overall mood of the book. But for the most part, I was just practicing with regex here.