Time-sensitive Arabic multiword expressions extraction from social networks

D Daoud, A Al-Kouz, M Daoud - International Journal of Speech …, 2016 - Springer
In this paper, we present a comprehensive approach for extracting and relating Arabic
multiword expressions (MWE) from Social Networks. 15 million tweets were collected and …

[PDF][PDF] Text clusters labeling using wordnet and term frequency-inverse document frequency

S Saqlain, A Nawaz, I Khan, F Shah, M Ashraf - Proceedings of the Pakistan … - paspk.org
Cluster Labeling is the process of assigning appropriate and well descriptive titles to text
documents. The most suitable label not only explains the central theme of a particular cluster …

Building a Sentiment Analysis system using automatically generated training Dataset

DM Daoud, S Aoudi, MSA oudi - … of the 8th International Conference on …, 2019 - dl.acm.org
In this paper, we describe a procedure for extracting annotated Arabic negative and positive
tweets. We use these extracted annotated tweets to build our sentiment system using Naive …