Research and development of a method for emotional analysis of text data

Abstract

This research provides a method of performing sentiment analysis of text information using machine learning. I have applied a supervised learning approach to train a classifier based on the BERT encoder The model recognizes emotions from text messages in English written in chat style. Classifier was trained and tested on the GoEmotions dataset.