Nasria BOUHYAOUI | Kasdi Merbah University of Ouargla (original) (raw)
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Papers by Nasria BOUHYAOUI
2018 2nd International Conference on Natural Language and Speech Processing (ICNLSP)
Social networks enable users to freely communicate with each other and share their personal and s... more Social networks enable users to freely communicate with each other and share their personal and social data, ongoing activities, interests, preferences, and views about different topics. Users demographics information plays an essential role in their interests and preferences identification. For example, women have not the same interests as men; women interest more about fashion and makeup than men, where, men interest more about sports than women. Therefore, the demographic attributes such as gender, age, location, marital status, education, and career can affect user's interests and preferences. In this paper, we propose a new approach which incorporates users' demographic attributes on the content classification. The experiments are done on a large Facebook dataset in order to analyze the effect of these demographic attributes on the performance of the categorization of the shared textual content in social networks.
Nowadays, uploading, searching and downloading cooking recipes, as well as their rating and revie... more Nowadays, uploading, searching and downloading cooking recipes, as well as their rating and reviewing have become a daily habit. Millions of reviews seek for exchanging recipes over YouTube. A user spends a lot of time searching for the best cooking recipe through users’ comments. Opinion Mining and Sentiment Analysis are critical tools for information-gathering to find out what people are thinking. In this chapter, we introduce a sentient based real-time system which mines YouTube meta-data (Likes, Dislikes, views, and comments) in order to extract important cooking recipes features and identify opinions polarity according to these extracted features. To improve the performance of our system, we construct a cooking recipe lexicon and propose some algorithms that constructed on sentiment bags, based on particular words related to food emoticons and injections.
International Journal of Metadata, Semantics and Ontologies, 2018
Legal texts play an essential role in the organisation, be it public or private where each actor... more Legal texts play an essential role in the organisation, be it public or private where each
actor must be aware of, and comply with regulations. However, because of the difficulties of the legal domain, the actors prefer to rely on the expert rather than resorting to search for the regulation in a collection of documents. In this paper, we use a rule-based approach based on the contextual exploration method for the semantic annotation of Algerian legal texts written in Arabic language. We are interested in the specification of the semantic information of the provision types: obligation, permission and prohibition, and the arguments role and action. The preliminary experiment presented promising results for the specification of provision types.
2018 2nd International Conference on Natural Language and Speech Processing (ICNLSP)
Social networks enable users to freely communicate with each other and share their personal and s... more Social networks enable users to freely communicate with each other and share their personal and social data, ongoing activities, interests, preferences, and views about different topics. Users demographics information plays an essential role in their interests and preferences identification. For example, women have not the same interests as men; women interest more about fashion and makeup than men, where, men interest more about sports than women. Therefore, the demographic attributes such as gender, age, location, marital status, education, and career can affect user's interests and preferences. In this paper, we propose a new approach which incorporates users' demographic attributes on the content classification. The experiments are done on a large Facebook dataset in order to analyze the effect of these demographic attributes on the performance of the categorization of the shared textual content in social networks.
Nowadays, uploading, searching and downloading cooking recipes, as well as their rating and revie... more Nowadays, uploading, searching and downloading cooking recipes, as well as their rating and reviewing have become a daily habit. Millions of reviews seek for exchanging recipes over YouTube. A user spends a lot of time searching for the best cooking recipe through users’ comments. Opinion Mining and Sentiment Analysis are critical tools for information-gathering to find out what people are thinking. In this chapter, we introduce a sentient based real-time system which mines YouTube meta-data (Likes, Dislikes, views, and comments) in order to extract important cooking recipes features and identify opinions polarity according to these extracted features. To improve the performance of our system, we construct a cooking recipe lexicon and propose some algorithms that constructed on sentiment bags, based on particular words related to food emoticons and injections.
International Journal of Metadata, Semantics and Ontologies, 2018
Legal texts play an essential role in the organisation, be it public or private where each actor... more Legal texts play an essential role in the organisation, be it public or private where each
actor must be aware of, and comply with regulations. However, because of the difficulties of the legal domain, the actors prefer to rely on the expert rather than resorting to search for the regulation in a collection of documents. In this paper, we use a rule-based approach based on the contextual exploration method for the semantic annotation of Algerian legal texts written in Arabic language. We are interested in the specification of the semantic information of the provision types: obligation, permission and prohibition, and the arguments role and action. The preliminary experiment presented promising results for the specification of provision types.