Sentiment Analysis Application on Twitter for E-reputation
Dhai Eddine Salhi, Abdelkamel Tari, Tahar Kechadi · 2019
The Internet has become the number one means of communication in the world using emails and social networks, it contains a large amount of data. Every Internet user can express himself freely and give his opinions and feelings, on any subject including companies. Those last ones are interested in improving their images, by analyzing the opinions presented in tweets or comments, and identifying weaknesses to correct them later. This paper focuses on a new topic that is E-reputation or electronic reputation, where we will analyze the tweets on Twitter of a mobile operator in Algeria "Djezzy". The study is divided into two parts, the first part is the pre-treatment where we eliminate noise and keep only the necessary information, the second part is using Machine Learning techniques and algorithms to detect the company's reputation between Internet users, based on the three languages: French, English and Arabic.