Ensemble Methodsof Sentiment Analysis: A Survey

Abstract

Sentiment Analysis (SA) is growing and becoming more interesting area for researcher in the field of Natural Language Processing (NLP). It is the calculative process in which opinions, subjectivity of text and sentiments are calculated. This survey handles an extensive study or sketch of the last updated ensemble methods in sentiment analysis. Most of the recently proposed ensemble methods of SA are studied and presented in brief in this study. These articles are classified on the basis of their benefaction in the various SA ensemble methods. There are various related fields to SA that attract researchers like (Building resources (BR), Emotion detection (ED), and Transfer learning (TL)), their concepts are presented. The main purpose of this study is to presents approximately each and every aspect of SA, ensemble technique and the entire vision in a brief manner. This survey also includes the sophisticated classification of many current updated articles and the interpretation of the recent tendency of research in the area of sentiment analysis and its related fields.