Abderrahim Beni-Hssane

TL;DR: Sentiment analysis (SA) is the task of extracting and analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities such as topics, products, and services as discussed by the authors.

TL;DR: This paper aims to present the state-of-the-art security and privacy issues in big data as applied to healthcare industry and discuss some available data privacy, data security, users’ accessing mechanisms and strategies.

TL;DR: Experimental results demonstrate that the method based on machine learning algorithms and semantic sentiment analysis can extract predictions of suicidal ideation using Twitter Data and verify the effectiveness of performance in term of accuracy and precision on semantic sentimentAnalysis that could thinking of suicide.

TL;DR: An adaptive e-learning model based on MapReduce-based Social Networks Analysis for determining the learner motivation and social productivity in order to assign a specific learning rhythm to each learner is proposed.

TL;DR: The usage of Twitter is presented in a number of proposed subjects, which is the largest social networking website where Twitter data is in increasing at higher rates every day that considers it as Big Data Source.