Rajendra Kumar Roul
ABSTRACT
The number of digital documents, which are a collection of a huge volume of features on the Web, is increasing day-by-day. Hence, selection of important features relevant to the classification process, and consequently discarding irrelevant ones, is the need of the hour. Aiming in this direction, this paper highlights two important aspects of Information Retrieval:
- proposes a new feature selection technique called Commonality-Rarity Score Computation (CRSC) to find the important features from a large corpus.
- shows the importance of extended feature space of Extreme Learning Machine (ELM) in the field of text categorization.
Empirical results on two established datasets show that the proposed approach is more promising compared to the standard feature selection techniques and the performance of ELM outperforms other prominent classifiers.
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