nayan-pradhan/TextClassification_CodeChallenge

The challenge is meant to evaluate problem-solving skills in areas of text preprocessing, data manipulation and ML modeling in Python

Text Classification - Code Challenge

❓ About the challenge:

• The challenge is meant to evaluate problem-solving skills in areas of text preprocessing, data manipulation and ML modeling in Python.

📂 Files present in directory:

• .gitignore: basic gitignore
• README.md: this README file
• application.py: python file for command line application
• commandLineApplication_Screenshot1.png: Screenshot of command line application
• commandLineApplication_Screenshot2.png: Screenshot of command line application
• dataset.json: provided dataset
• pickle_dumper.py: python file for training data and generating pickle used by application.py
• script.ipynb: main Jupyter Notebook file
• trained_model.pickle: auto-generated pickle file for trained model
• webApp_Screenshot.png: Screenshot of web app

🌏 How to access Web Application:

1. Open 'script.ipynb' via Jupyter Notebook and run the whole notebook
2. URL: https://kdzynhp6hukjwuba.anvil.app/TYLJ73PI6MEOA76NVDBMX4JS/

👾 How to run Command Line Application:

1. Download files 'application.py' and 'pickle_dumper.py'
2. Install the following libraries (if not already installed):
   • pip install regex
   • pip install PyInquirer
   • pip install google-trans-new
   • pip install pyfiglet
   • pip install pandas
   • pip install numpy
   • pip install -U pip setuptools wheel
   • pip install -U spacy
   • python -m spacy download en_core_web_sm
   • python -m spacy download de_core_news_sm
   • pip install nltk
   • pip install matplotlib
   • pip install scikit-learn
   • Please install any other necessary and relavent files if you gen an ImportError!
3. Go to directory of downloaded files via terminal
4. Run: 'python3 application.py'