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SuperUser forum topic modeling

Home Page: https://superuser-topic-modeling.herokuapp.com/#/topics

Python 0.45% HTML 2.02% JavaScript 59.24% CSS 37.97% Makefile 0.03% Groff 0.03% Batchfile 0.01% TypeScript 0.26%
topic-modeling superuser analysis lda machine-learning

superuser-topic-modeling's Introduction

About

This repo contains code to apply topic modeling on the SuperUserForum using the package gensim

The ipython notebook I used for my analysis can be found here

An interactive view of the project can be found here

Slides used when I presented to my class

Blog Post

Reproducing the results

  1. Download dataset Dump was downloaded from archive.org

Save and the folder to 'data' folder The data folder should have a file Posts.xml

  1. Build sqlitedb The xml file is huge and not easily accesible. In its current format, it is hard to get an entire page (question and answers).

The script analysis/makdeb.py makes a sqlite database

python analysis/makedb.py data/Posts.xml data/data.sqlite
  1. Analyze the results
ipython notebook

navigate to analysis/superuser.ipynb

Running the deployed code

  1. bower,npm must be installed

  2. Install bower dependencies

bower install       
  1. install node dependencies
npm install
  1. run webapp
python runserver.py

superuser-topic-modeling's People

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