Image sentiment analysis on past works- an exhaustive study

Many affective reactions can be triggered in individuals from visuals (example images and videos). Sentiment analysis from visual content isnotasstraight-forward assentiment analysis from text. The early research studies were mainly focusedontext-based sentiment analysis[1-4].Text sentiment can be generally classified intopositive,neutral, and negative polarity. While considering visual content, apart from considering these basic polarities, we have to godeeper into emotion prediction. The explosive growth of social networks supplied a significant amount of internet data. The entire world startedtoevaluatethesepublicperceptionsfortheircommercial plans. Analyzingthatinformationhas a great impact on market prediction, political voting fore casting, and brand monitoring. The most widely used application is in the monitoring of people's opinions towards their products or feedback to evaluate the worth of a product.