This presentation is designed on Canva for a Machine Learning project used to analyze sentiments based on textual data input.
EMOTISCAN is one such application that can analyze the sentiment hidden behind a certain text along with probabilities of each emotion exhibited by a text by virtue of being trained by a Machine Learning model.
This is a robust sentiment analysis model that can classify textual data into 8 different categories of emotions based on the text using a diverse data set comprising 34,000+ samples.