Sentiment analysis for Arabic multi-dialects using hybrid approach
| dc.contributor.author | Djakam, Kaddour | |
| dc.contributor.author | Madani, Okba | |
| dc.contributor.author | Supervision :Bentercia, Rahima | |
| dc.date.accessioned | 2023-07-06T07:52:21Z | |
| dc.date.available | 2023-07-06T07:52:21Z | |
| dc.date.issued | 2023-06-10 | |
| dc.description.abstract | The objective of our research is to analyze the feelings expressed in the Arabic language and its dialects in the field of travel. This involves extracting travel-related emotions from texts and analyzing them accurately according to the various Arabic dialects. We have developed two approaches for this purpose. The first approach relies on ontology, while the second approach combines ontology with machine learning. These approaches are used to analyze texts in 25 different dialects. | en_US |
| dc.identifier.uri | http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/40029 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of M'sila | en_US |
| dc.subject | sentiment analysis, analyze Arab sentiments, Arabic dialects, Ontology, Machine Learning. | en_US |
| dc.title | Sentiment analysis for Arabic multi-dialects using hybrid approach | en_US |
| dc.type | Thesis | en_US |