Toward a Sentiment Analysis Framework for Social Media
Bousselham El Haddaoui, Raddouane Chiheb, Rdouan Faizi, Abdellatif El Afia · 2018
Nowadays, opinions and sentiments can be easily expressed through social media and have a strong social impact. Thus, the need for an automated way to analyze the generated data with less human effort and more accuracy. In this respect, sentiment analysis tasks such as; preprocessing, classification, etc. provides various techniques that achieves notable accuracy scores, but presents limitations depending on the experimental context.