README for SEC 10-K Parsing Script

This Python script is designed to parse text from SEC 10-K filings and give each company a cybersecurity awareness score.

Dependencies

This script requires the following Python modules to be installed:

• os
• beautifulsoup4
• string
• nltk
• urllib
• math

Usage

To use the script, follow these steps:

1. Install the required dependencies.
2. Place the SEC 10-K filings you wish to parse in a directory called Files located in the same directory as the script.
3. Run the script from the command line: python parse.py

Functions

The script includes the following functions:

• remove_substrings(text, substrings): removes substrings from a given text.
• remove_whitespace(text): removes whitespace from a given text.
• includes_digit(word, digits): checks if a given word includes a digit.
• remove_num(text): removes numbers from a given text.
• remove_stop_words(text): removes the most common English words from a given text.
• parse_files(): parses the SEC 10-K filings in the Files directory and generates a dictionary of parsed text for each company in the filings.
• format_glossary(text): formats a given text for inclusion in the cybersecurity glossary.
• return_possible_words(word): retrieves possible words from a given word with parentheses.
• get_cyber_words(): generates a glossary of cybersecurity terms from the SEC 10-K filings.