A hybrid method for extracting relations between Arabic named entities

Autor: Ines Boujelben, Salma Jamoussi, Abdelmajid Ben Hamadou

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 26, Iss 4, Pp 425-440 (2014)

Relation extraction is a very useful task for several natural language processing applications, such as automatic summarization and question answering. In this paper, we present our hybrid approach to extracting relations between Arabic named entitie

Externí odkaz: https://doaj.org/article/e55d3ee068ba42c5a115969f1aeb7818

A recursive methodology for radical communities’ detection on social networks

Autor: Abdelmajid Ben Hamadou, Amal Rekik, Salma Jamoussi

Publikováno v: KES

In the recent years, radical communities have become very aware of the enormous impact of social networks around the world. Thus, these latter are being frequently explored by these groups. Therefore, penetrating into these communities by analyzing b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::03f7b06d57dcf4171231d75be3f3fa99
https://doi.org/10.1016/j.procs.2020.09.237

Lexical data mining‐based approach for the self‐enrichment of LMF standardized dictionaries: Case of the syntactico‐semantic knowledge

Autor: Abdelmajid Ben Hamadou, Bilel Gargouri, Imen Elleuch

Publikováno v: Concurrency and Computation: Practice and Experience. 33

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::468dbb030e8ff7fe2040bd6da75acbc1
https://doi.org/10.1002/cpe.6312

Like-tasted user groups to predict ratings in recommender systems

Autor: Soufiene Jaffali, Abdelmajid Ben Hamadou, Kamel Smaïli, Salma Jamoussi

Publikováno v: Social Network Analysis and Mining
Social Network Analysis and Mining, Springer, 2020, 10 (1), ⟨10.1007/s13278-020-00643-w⟩
Social Network Analysis and Mining, 2020, 10 (1), ⟨10.1007/s13278-020-00643-w⟩

International audience; Recommendation Systems have gained the intention of many researchers due to the growth of the business of personalizing, sorting and suggesting products to customers. Most of rating prediction in recommendation systems are bas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37c7d8b635bebe92fc2ec800c78ee17c
https://doi.org/10.1007/s13278-020-00643-w

A New Method for Sentiment Analysis Using Contextual Auto-Encoders

Autor: Hanen Ameur, Abdelmajid Ben Hamadou, Salma Jamoussi

Publikováno v: Journal of Computer Science and Technology. 33:1307-1319

Sentiment analysis, a hot research topic, presents new challenges for understanding users’ opinions and judgments expressed online. They aim to classify the subjective texts by assigning them a polarity label. In this paper, we introduce a novel ma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::79c193fa94838eff9fb2ff7353a33032
https://doi.org/10.1007/s11390-018-1889-1