Comparison Between Bag of Words and Word Sense Disambiguation
Ayoub Mohamed H. Elyasir, Kalaiarasi Sonai Muthu Anbananthen
Ayoub Mohamed H. Elyasir
Available Online August 2013.
- 10.2991/icacsei.2013.103How to use a DOI?
- Data Mining, Bag of Words, Word Sense Disambiguation, Classifier
Bag of Words (BoW) and Word Sense Disambiguation (WSD) are the main approaches utilized in almost every data mining project for classification and data processing. The two approaches are extensively used in constructing various classifiers including supervised, unsupervised and semi-supervised classifiers. In this paper, we introduce new method of defining and comparing between BoW and WSD based on three categories. First, introduce and explain the approaches through the human brain analogy to simplify the overall concept. Secondly, sort their classifiers, methodologies and algorithms in the data mining field. Finally, introduce our developed cognitive miner to illustrate the practical functionality of these two approaches.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ayoub Mohamed H. Elyasir AU - Kalaiarasi Sonai Muthu Anbananthen PY - 2013/08 DA - 2013/08 TI - Comparison Between Bag of Words and Word Sense Disambiguation BT - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013) PB - Atlantis Press SP - 413 EP - 417 SN - 1951-6851 UR - https://doi.org/10.2991/icacsei.2013.103 DO - 10.2991/icacsei.2013.103 ID - MohamedH.Elyasir2013/08 ER -