Stemmer Impact on Quranic Mobile Information Retrieval Performance
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 12
Abstract
Stemming algorithms are employed in information retrieval (IR) to reduce verity variants of the same word with several endings to a standard stem. Stemmers can also help IR systems by unifying vocabulary, reducing term variants, reducing storage space, and increasing the likelihood of matching documents, all of which make stemming very attractive for use in IR. This paper aims to study the impact of using stemming techniques in mobile effectiveness. Two-word extraction stemming techniques will be used: a light stemmer and a dictionary-lookup stemmer. Also, three sets of experiments were conducted in this research in order to raise the efficiency of mobile aapplications. Implementing the two stemming approaches and assessing their accuracy by calculating the precision, recall, MAP, and f-measure, produced results which show that the light10 stemmer outperforms the dictionary-lookup stemmer in precision and MAP. Furthermore, the mobile performance of the light10 stemmer exceeds that of the dictionary-based stemmer.
Authors and Affiliations
Huda Omar Aljaloud, Mohammed Dahab, Mahmoud Kamal
Keywords
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- EP ID EP397299
- DOI 10.14569/IJACSA.2016.071218
- Views 94
- Downloads 0
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