README

README

Make sure you run the webapp through Mozilla Firefox. Some of the graphs dont work in chrome.
Before you run the webapp server make sure you have these installed:
1) Python 3.6

2) Python libraries required for Webapp: re, numpy, flask, werkzeug and sklearn

3) Requirements for Data Preprocessing Code: jupyter notebook, gensim, nltk.
Make sure to download all the related data for nltk. You can do this by running the following code after you install the library:
> import nltk
> nltk.download('all')

4) Open the LDA.ipynb file via jupyter notebook.
Or you can view the results on our git repo: https://github.com/RishabhPatil/Serendip/blob/master/LDA.ipynb

5) Update the 'DATA_FOLDER' variable to selecte the dataset either 'data/NewsArticles/' or 'data/ReligiousTexts'

6) Run all the cells in sequence to generate the data.

7) Copy the generated files in 'data' folder to 'integration/static/data/'. This is where the webapp looks for the data files.

8) Run app.py from integration folder to run the webapp.