subjectivity analysis; sentiment analysis; opinion mining; emotion detection
International Workshop on Semantic Evaluations
an ACL-SIGLEX event
Call for Participation
Recent years have marked the beginning and expansion of the Social Web, in which people freely express and respond to opinion on a whole variety of topics. While the growing volume of subjective information available allows for better and more informed decisions of the users, the quantity of data to be analyzed imposed the development of specialized Natural Language Processing (NLP) systems that automatically detect subjectivity in text and subsequently extract, classify and summarize the opinions available on different topics.