Exploring Twitter Hashtags
Computation and Language
2011-11-29 v1
Abstract
Twitter messages often contain so-called hashtags to denote keywords related to them. Using a dataset of 29 million messages, I explore relations among these hashtags with respect to co-occurrences. Furthermore, I present an attempt to classify hashtags into five intuitive classes, using a machine-learning approach. The overall outcome is an interactive Web application to explore Twitter hashtags.
Cite
@article{arxiv.1111.6553,
title = {Exploring Twitter Hashtags},
author = {Jan Pöschko},
journal= {arXiv preprint arXiv:1111.6553},
year = {2011}
}