Analyzing the sentiment polarity of watched movies based on viewers’ comments
| dc.contributor.author | Chabira, safia Supervisor2: Gadri, Said | |
| dc.date.accessioned | 2021-07-18T10:03:05Z | |
| dc.date.available | 2021-07-18T10:03:05Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Customer product reviews are critical in determining whether or not a customer will buy a product or utilize a service. Others' internet reviews, blogs, and social networking platforms influence customer choices and opinions. Recommender systems are now frequently used in many commercial sites to assist consumers in dealing with the problem of information overload. Users can get tailored recommendations via recommender systems, which can help them, make better selections on which product to buy from a large number of options. In our work, we developed a sentiment analysis model based on the ANN model. Its purpose is to analyze the sentiment polarity of movies comments. This model proved to be highly effective and accurate in the analysis of feelings. | en_US |
| dc.identifier.uri | https://repository.univ-msila.dz/handle/123456789/25111 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of M'sila | en_US |
| dc.subject | deep learning, Sentiment analysis, Neural Networks, Machine learning. | en_US |
| dc.title | Analyzing the sentiment polarity of watched movies based on viewers’ comments | en_US |
| dc.type | Thesis | en_US |