Finding_Themes_in_Indonesian_Twitter_with_LDA

Using Latent Dirichlet Allocation to Organize Tweets From Indonesia's 2014 Election

Getting Started

Prerequisites

This notebook requires the following packages to be installed:

* pandas
* matplotlib
* csv
* re
* gensim

The notebook also needs the Indonesian stemmer Sastrawi installed, which can be done with the following code in your terminal:

$ pip install Sastrawi

To create the environment, type the following:

$ conda create --name py35 python=3.5 pandas matplotlib csv re gensim Sastrawi

You can then activate the environment and launch the Jupyter Notebook.

Data

• Twitter corpus - courtesy of Ali Akbar S.
• List of Indonesian stopwords - courtesy of Kaggle
• Sastrawi stemming toolLICENSE

License

This project is licensed under the MIT License - see the LICENSE.md file for details