Collecting and Processing Multilingual Streaming Tweets for Sentiment Analysis
Sentiment analysis is a new field of study that allows to transform the publications on the social networks into exploitable data to analyze trends, probing consumer opinion or direct advertising campaigns. Many studies have focused on the sentiment analysis for the English language. However, few studies have focused on the Arabic language which is a native language for Millions of people who use social network. This paper addresses some approaches in sentiment analysis for multilingual tweets. At first we have installed and configured a platform for real-time collecting and preprocessing multilingual tweets (Arabic, French and English). In the second time, we have applied factorial correspondence and multiple correspondence analysis for analyzing tweets. We have used this platform for sentiment analysis on the Mawazine festival, which took place in Rabat between May 20 and 28, 2016.