Research Article
Improving Classification of Tweets Using Linguistic Information from a Large External Corpus
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@INPROCEEDINGS{10.1007/978-3-319-52569-3_11, author={Hugo Hammer and Anis Yazidi and Aleksander Bai and Paal Engelstad}, title={Improving Classification of Tweets Using Linguistic Information from a Large External Corpus}, proceedings={Industrial Networks and Intelligent Systems. Second International Conference, INISCOM 2016, Leicester, UK, October 31 -- November 1, 2016, Revised Selected Papers}, proceedings_a={INISCOM}, year={2017}, month={6}, keywords={Classification Co-occurrence information Text mining Tweets}, doi={10.1007/978-3-319-52569-3_11} }
- Hugo Hammer
Anis Yazidi
Aleksander Bai
Paal Engelstad
Year: 2017
Improving Classification of Tweets Using Linguistic Information from a Large External Corpus
INISCOM
Springer
DOI: 10.1007/978-3-319-52569-3_11
Abstract
The bag of words representation of documents is often unsatisfactory as it ignores relationships between important terms that do not co-occur literally. Improvements might be achieved by expanding the vocabulary with other relevant word, like synonyms.
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