Framework for Sentiment Analysis of Arabic Text

  title={Framework for Sentiment Analysis of Arabic Text},
  author={Latifah Almuqren and Alexandra I. Cristea},
This paper analyses challenges, and provides a model and a framework for mining Arabic tweets to measure customer satisfaction toward telecom companies in Saudi Arabia, to predict the ratio of customer churn and overcome the specific challenges with the semantic sentiment analysis of Arabic text. 

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Building an Arabic sentiment lexicon using semisupervised learning

  • F.H.H. Mahyoub, M. A. Siddiqui, M. Y. Dahab
  • Journal of King Saud University Computer and…
  • 2014
Highly Influential
6 Excerpts

Qarbaz,I., Arabic Sentiment Analysis Using Supervised Classification. in International Conference on Future Internet of Things and Cloud (FiCloud), ( Barcelona ,Spain,2014)

  • R. M. Duwairi
  • IEEE Computer Society,
  • 2014
Highly Influential
6 Excerpts

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