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Effect of Stop-Word Removal for Marathi Language Text Retrieval
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 47 |
| Year of Publication: 2023 |
| Authors: Harshali B. Patil, Ajay S. Patil |
10.5120/ijca2023923289
|
Harshali B. Patil, Ajay S. Patil . Effect of Stop-Word Removal for Marathi Language Text Retrieval. International Journal of Computer Applications. 185, 47 ( Dec 2023), 30-34. DOI=10.5120/ijca2023923289
Abstract
Automatic e-document processing systems have been one of the main fields of research and development over past decades. Preprocessing techniques are found to be useful for the process of organizing unstructured text while implementation of various web and data mining techniques like information retrieval, clustering, classifications, etc. Stop-word removal is one of the important preprocessing techniques used for removal of the tokens that do not have any linguistic meaning, and affects on the performance of text mining tasks. These words serve no purpose for Information Retrieval, but they are used very frequently in composing the documents. In modern Information Retrieval process, effective indexing can be achieved by removal of stop words. Many stop word lists have been developed for the major European languages that motivated researchers to work on Asian languages. In case of Indian languages, attempts could be found for Hindi, Bengali, etc. This paper discusses the procedures of two types of stop-word list construction for Marathi text retrieval systems and their impact on reduction in index size. The experimental results reveals that the proposed stop-word list achieves maximum reduction in index size over prior published lists.
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