A Study on Aspect Level Sentiment Analysis of Named Entities using Annotation Scheme


Author(s): S.Devidhanshrii, Dr. T.Karthikeyan

Sentiment Analysis is a prolongation of data mining that extracts and inlays data automatically. Mainly sentiment analysis is used for the study of public opinion analysis and text subjectivity analysis and it is a process of identifying and categorizing opinions expressed in a piece of text. People shared their positive and negative thoughts according to their sentiments. Sentiment analysis can be considered as a classification process at different levels. Primarily this calculation is computed based on the famous annotation schema. It can be generated after preprocessing.