@inproceedings{bc774e5f70f1434db62f3a0a2210b00d,
title = "Knowledge discovery in hashtags\#",
abstract = "Twitter is a breed of social networks that are playing a buoyant role in today's world communication. This paper is an attempt to apply knowledge discovery process on Twitter dataset comprising hashtags along with the visual analytic techniques whose purpose is to provide information to the people in such a way so that they understand concealed knowledge in the data effortlessly and meritoriously. We further analyze tweet text and metadata associated with each tweet for identification of useful patterns like 'who talks to whom' and 'how much'. Our research reveals the impact of visualization and hierarchical clustering technique in analyzing similar groups of users. Further we investigate different social network measures that unveil the influence of users in the particular hashtags.",
keywords = "Data mining, Database, NLP, Social Network Analysis",
author = "Rizwan Mehmood and Hermann Maurer and Afzal, \{Muhammad Tanveer\}",
year = "2013",
doi = "10.1109/ICET.2013.6743538",
language = "English",
isbn = "9781479934560",
series = "ICET 2013 - 2013 IEEE 9th International Conference on Emerging Technologies",
publisher = "IEEE Computer Society",
booktitle = "2013 IEEE 9th International Conference on Emerging Technologies, ICET 2013",
address = "United States",
note = "2013 IEEE 9th International Conference on Emerging Technologies, ICET 2013 ; Conference date: 09-12-2013 Through 10-12-2013",
}