Subject Specific Stream Classification Preprocessing Algorithm for Twitter Data Stream
Computation and Language
2017-05-30 v1
Abstract
Micro-blogging service Twitter is a lucrative source for data mining applications on global sentiment. But due to the omnifariousness of the subjects mentioned in each data item; it is inefficient to run a data mining algorithm on the raw data. This paper discusses an algorithm to accurately classify the entire stream in to a given number of mutually exclusive collectively exhaustive streams upon each of which the data mining algorithm can be run separately yielding more relevant results with a high efficiency.
Cite
@article{arxiv.1705.09995,
title = {Subject Specific Stream Classification Preprocessing Algorithm for Twitter Data Stream},
author = {Nisansa de Silva and Danaja Maldeniya and Chamilka Wijeratne},
journal= {arXiv preprint arXiv:1705.09995},
year = {2017}
}
Comments
6 pages