Sentiment Classification Victimisation N-Gram force and Automatic Machine Learning

Abstract

In this paper, Anotion grouping technique is proposed with the help of an extensive artificial intelligence structure. For feature representation, k-gram (n-gram) military group is employed to extract software engineering connected, information group-explicit, optimistic, impartial, and pessimistic ngram expressions. A mechanized AI tool is employed for the classifiers. Within the comparison exploitation publicly offered information groups, our technique attained the optimum accuracy test values in optimistic and pessimistic sentences.