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Framework for Sentiment Analysis of Arabic Text
Conference proceeding

Framework for Sentiment Analysis of Arabic Text

Latifah Almuqren, Alexandra I. Cristea and ACM
PROCEEDINGS OF THE 27TH ACM CONFERENCE ON HYPERTEXT AND SOCIAL MEDIA (HT'16), pp.315-317
01/01/2016
DOI: https://doi.org/10.1145/2914586.2914610

Abstract

Computer Science Computer Science, Information Systems Computer Science, Theory & Methods Engineering Engineering, Electrical & Electronic Science & Technology Technology
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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