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
- From the command line, clone this repo
git clone https://github.com/andybywire/nlp-text-analysis.git
- Copy the two text files to your desktop
- rfi-data.tsv
- custom-stopwords.txt
- Then, from inside the repo directory, run
jupyter notebook
- Select
text-analytics.ipynb
and press "Run" to start executing the scripts