Arabic sentiment analysis: studies, resources, and tools
To determine whether a document or a sentence expresses a positive or negative sentiment,
three main approaches are commonly used: the lexicon-based approach, corpus-based …
three main approaches are commonly used: the lexicon-based approach, corpus-based …
Using opinion mining in context-aware recommender systems: A systematic review
Recommender systems help users by recommending items, such as products and services,
that can be of interest to these users. Context-aware recommender systems have been …
that can be of interest to these users. Context-aware recommender systems have been …
Social big data mining: A survey focused on opinion mining and sentiments analysis
I Guellil, K Boukhalfa - 2015 12th international symposium on …, 2015 - ieeexplore.ieee.org
The emergence of social media and the huge amount of data generated by them, has lead
researchers to study the possibility of their exploitation in order to identify hidden knowledge …
researchers to study the possibility of their exploitation in order to identify hidden knowledge …
User satisfaction with Arabic COVID-19 apps: Sentiment analysis of users' reviews using machine learning techniques
Digital technologies such as mobile health (mHealth) apps with a variety of features can be
essential tools for controlling pandemics. Therefore, many Arab countries have launched …
essential tools for controlling pandemics. Therefore, many Arab countries have launched …
A collaborative user-centered framework for recommending items in Online Social Networks
Recommender Systems are more and more playing an important role in our life,
representing useful tools helping users to find “what they need” from a very large number of …
representing useful tools helping users to find “what they need” from a very large number of …
Sentiment analysis of social network data for cold-start relief in recommender systems
Recommender systems have been used in e-commerce to increase conversion due to
matching product offer and consumer preferences. Cold-start is the situation of a new user …
matching product offer and consumer preferences. Cold-start is the situation of a new user …
E-learning and sentiment analysis: a case study
E-Learning is becoming one of the most effective training approaches. In particular, the
blended learning is considered a useful methodology for supporting and understanding …
blended learning is considered a useful methodology for supporting and understanding …
Data mining approaches for sentiment analysis in online social networks (OSNs)
P Gunti, BB Gupta, E Benkhelifa - … for big data and sentiment analysis …, 2022 - igi-global.com
IoT technology and the widespread usage of public networking platforms and apps also
made it possible to use data mining in extracting useful perspectives from unorganised …
made it possible to use data mining in extracting useful perspectives from unorganised …
Terminological ontology learning and population using latent dirichlet allocation
Abstract The success of Semantic Web will heavily rely on the availability of formal
ontologies to structure machine understanding data. However, there is still a lack of general …
ontologies to structure machine understanding data. However, there is still a lack of general …
[PDF][PDF] SAFE: A Sentiment Analysis Framework for E-Learning.
The spread of social networks allows sharing opinions on different aspects of life and daily
millions of messages appear on the web. This textual information can be a rich source of …
millions of messages appear on the web. This textual information can be a rich source of …