@inproceedings{5b6fa835497d461ba0fc3ea6fa27febb,
title = "Opinion Mining on Twitter: A Sentiment Analysis of the Iran Deal",
abstract = "Social networks have become an inevitable and integrated part of daily routine for many people. People can freely express their opinions and feelings on almost everything in a large crowd. In this research, we investigate the opinions of the public in relation to one of the most challenging topics in the current international affair: The Iran deal. The deal was reached between Iran and the world powers (China, Russia, United Kingdom, United States, and the European Union in July 2015. As a result of the agreement, Iran agreed to restrict its conflicting program in exchange for lifting some of the restrictions. The viability of the agreement, however, is highly at risk. To analyze the public opinion about the deal, we extracted relevant tweets and performed sentiment analysis by two different approaches (lexicon-based and machine-learning). The results show that the largest number of tweets contained positive sentiments followed by negative and neutral.",
keywords = "Iran deal, JCPOA, Opinion Mining, Sentiment Analysis, Twitter",
author = "Ehsan Abedin and Hamed Jafarzadeh and Saeed Akhlaghpour",
year = "2018",
language = "English",
series = "Proceedings of the 22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018",
publisher = "Association for Information Systems",
editor = "Motonari Tanabu and Dai Senoo",
booktitle = "Proceedings of the 22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society",
address = "United States",
note = "22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018 ; Conference date: 26-06-2018 Through 30-06-2018",
}