STORY CLASSIFICATION IN THE HOLY QURAN
| dc.contributor.author | CHIKEUR, RIHAB | |
| dc.contributor.author | Supervisor : Bentrcia, Rahima | |
| dc.date.accessioned | 2021-09-08T14:19:06Z | |
| dc.date.available | 2021-09-08T14:19:06Z | |
| dc.date.issued | 2021-06-10 | |
| dc.description.abstract | Research has paid great attention to processing textual data in all languages, but the classification of Arabic texts is less in number than others, especially information systems that depend on the Arabic text in the Holy Qur‟an. This goal prompted us to do this research, which uses the Holy Qur‟an as a linguistic repertoire (where we took a sample of it, which is Surah Al-Araf) and exploits the techniques of text mining, and from that, the outline of the methodology of this study consists of: pre-processing, modeling, term extraction, Dimensional abbreviation and weight terminology (TF *IDF). The application of the NN algorithm to evaluate the performance of the classification model using accuracy and recall values. | en_US |
| dc.identifier.uri | http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/25664 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of M'sila | en_US |
| dc.subject | text mining, neural networks, data mining. | en_US |
| dc.title | STORY CLASSIFICATION IN THE HOLY QURAN | en_US |
| dc.type | Thesis | en_US |