NLP-quote-maker

A NLP driven script which will give you a quote according to the sentence you feed it. It pulls data from several API's and makes up a relation by f.e. sentiment of the sentence.

Start-up

To run the app

• Clone this repository git clone git@github.com:grumpyp/NLP-quote-maker.git
• Setup virtual environment if required python -m venv venv
• Install requirements.txt pip install -r requirements.txt
• Run app with python app\main.py

⭐ Current features & Interface

• NLTK SentimentIntensityAnalyzer was used to gpositive/neutral/negative rating scores and normalized into a composite score.
• Entity labelling with spacy was used to attach one or more classes to each quote.
• A text box is provided for user input where text is assessed, rated, matched to existing quotes within a quote database, and outputted with associated rating score.

👾 Repo Setup

Main branches containing all relevant files for use/development are found in the deployment and development branch respectively. Proposed changes should be done and pulled on development branch first prior to merge with depolyment.

app
├── src
│   ├── db.py
│   └── functions.py
├── static
│   ├── css
│   │   └── style.css
│   └── js
│       └── main.js
├── templates
│   ├── index.html
│   └── layout.html
├── config.py
├── main.py   
└── views.py 

Support & Contributing

Feature Requests? Please file an issue

I am happy to see all kind of contributions!

ToDo

• Setup Flask environment
• Deployment on Heroku
• Build frontend with dynamic search field
• Find API's for quotes
• Use Twitter / Reddit API
• Find features to do a rating of the sentence
• Find suitable NLP libraries
• Write inital readme