Backend app designed to extract words from multiple txt files. Built in Python.
6 detailed text documents provide the source material for this app to locate 10 of the most commonly used words. The word limit is flexible and can be adjusted by updating the main python code file.
The user can select a text file (1 - 6) to then initiate a summary table of analysis.
Summary of data analysis:
Most Common Words Frequency % of total document In addition, the user can continue to search another text file or close the application in python shell.
- Manually download the application locally to your machine and then upload to your preferred IDE
- Clone my repo via Git using the following repo address `https://github.com/Spagettileg/word-xtractor`- Enter `python3 word.py` to start the app.
