Efficient Voting-Based Extractive Automatic Text Summarization Using Prominent Feature Set

ABSTRACT

Automatic text summarization (ATS) is the process of generating a summary by condensing text document by a computer machine. In this paper, we explored voting-based extractive approaches for text summarization. The main issue with most of the feature-based ATS methods is to find optimal feature weights for sentence scoring to optimize the quality of summary. Voting-based methods are sensitive to initial ranking process. We proposed reciprocal ranking-based sentence scoring approach that alleviates the feature weighting and initial ranking problem. The proposed approach uses a specific prominent set of features for initial ranking that further enhance the performance. Experimental results on Document Understating Conference 2002 data-set using ROUGE evaluation matrices shows that our proposed method performs better as compared to other voting-based methods.

KEYWORDS:

• Extractive automatic text summarization
• Feature cluster
• Statistical features
• Sentence scoring
• Text mining
• Voting models

DISCLOSURE STATEMENT

No potential conflict interest was reported by the authors.

Additional information

Notes on contributors

Yogesh Kumar Meena

Yogesh Kumar Meena is currently pursuing the PhD degree in computer science & engineering from the Malaviya National Institute of Technology, Jaipur, India. He is an assistant professor at the Department of Computer Science & Engineering Malaviya National Institute of Technology, Jaipur, India. His research interests include issues related to data mining, natural language processing, pattern recognition, and knowledge management. He is the author of a great deal of research studies published at national and international journals, conference proceedings as well as book chapters.

E-mail: [email protected]

Dinesh Gopalani

Dinesh Gopalani received the PhD degree in computer science & engineering from the Malaviya National Institute of Technology, Jaipur, India. He is an assistant professor at the Department of Computer Science & Engineering Malaviya National Institute of Technology, Jaipur, India from past 15 years. His research interests include issues related to aspect oriented programming, compiler design, natural language processing, and knowledge management. He has published research papers at national and international journals, conference proceedings as well as chapters of books.

E-mail: [email protected]