Comparison between Bag of Words and Word Sense Disambiguation


H. Elyasir, Ayoub Mohamed and Sonai Muthu Anbananthen, Kalaiarasi (2013) Comparison between Bag of Words and Word Sense Disambiguation. In: Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013), Beijing,China.

[img] Text
Restricted to Repository staff only

Download (1MB)


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.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 05 Jan 2017 05:17
Last Modified: 05 Jan 2017 05:17


Downloads per month over past year

View ItemEdit (login required)