Document Type
Conference Proceeding
Publication Date
9-12-2014
Abstract
In this paper, we describe an approach to filter out noisy data generated by keywords-based tweet filtering methods by performing Word Sense Disambiguation on those keywords used to collect tweets. We present the noise filtering problem as a binary classification problem and discuss our evaluation strategy which is to be carried out in future.
Repository Citation
Wijeratne, S.,
& Heravi, B. R.
(2014). A Keyword Sense Disambiguation Based Approach for Noise Filtering in Twitter. .
https://corescholar.libraries.wright.edu/knoesis/1031
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Short paper and poster presented at the 1st Insight Student Conference, Dublin, Ireland, September 12, 2014.