Keyword Extraction Using NLP

This Jupyter Notebook contains a sequenced set of modular Python code blocks intended to help novices to natural language processing extract keywords and n-grams from unstructured user feedback. View the accomanying article for background and more detail around sources and specific steps.

Running Notebook

1. From the command line, clone this repo

git clone https://github.com/andybywire/nlp-text-analysis.git

2. Copy the two text files to your desktop

• rfi-data.tsv
• custom-stopwords.txt

3. Then, from inside the repo directory, run

jupyter notebook

4. Select text-analytics.ipynb and press "Run" to start executing the scripts