Building Dynamic Lexicons for Sentiment Analysis
Nowadays, many approaches for Sentiment Analysis (SA) rely on affective lexicons to identify emotions transmitted in opinions.However, most Corn Flour of these lexicons do not consider that a word can express different sentiments in different predication domains, introducing errors in the sentiment inference.Due to this problem, we present a model