twitter-data-analysis

The tweet dataset containing tweets about Boston Marathon Bombing, is cleaned, vectorized, extracted features upon, clustered using Kmeans and represented on
a Scatter Graph by Multi Dimensional Scaling (MDS) of distance b/w tweet-vectors calculated using Cosine Distance. Check the Jupyter Nottebook: “TweetClustering.ipynb”.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

• Extract the downloaded the repository.


• Run “jupyter notebook” in the terminal.


• Open “TweetClustering.ipynb”.

KMeans (Clusters=25)

Prerequisites

• Jupyter notebook


• NLTK


• sKlearn


• matplotlib

pip install matplotlib

Deployment

Use conda or pip to install the requirements.

Authors

• Mradul Dubey - Twitter Data Analysis - MradulDubey

License

This project is licensed under the GNU GENERAL PUBLIC LICENSE License - see the LICENSE.md file for details.

Acknowledgments

• https://nbviewer.jupyter.org/github/brandomr/document_cluster/blob/master/cluster_analysis_web.ipynb