@inproceedings{d2ba30a7162e42e2b86372fcc2eae9a2,
title = "A new text representation scheme combining Bag-of-Words and Bag-of-Concepts approaches for automatic text classification",
abstract = "This paper introduces a new approach to creating text representations and apply it to a standard text classification collections. The approach is based on supplementing the well-known Bag-of-Words (BOW) representational scheme with a concept-based representation that utilises Wikipedia as a knowledge base. The proposed representations are used to generate a Vector Space Model, which in turn is fed into a Support Vector Machine classifier to categorise a collection of textual documents from two publically available datasets. Experimental results for evaluating the performance of our model in comparison to using a standard BOW scheme and a concept-based scheme, as well as recently reported similar text representations that are based on augmenting the standard BOW approach with concept-based representations.",
keywords = "Bag-of-Concepts, Bag-of-Words, Text Classification, Wikipedia",
author = "Alaa Alahmadi and Arash Joorabchi and Mahdi, {Abdulhussain E.}",
year = "2013",
doi = "10.1109/IEEEGCC.2013.6705759",
language = "English",
isbn = "9781479907243",
series = "2013 7th IEEE GCC Conference and Exhibition, GCC 2013",
pages = "108--113",
booktitle = "2013 7th IEEE GCC Conference and Exhibition, GCC 2013",
note = "2013 7th IEEE GCC Conference and Exhibition, GCC 2013 ; Conference date: 17-11-2013 Through 20-11-2013",
}