A Review on Hybrid Approach on Textual Data for Emotion Detection Using Machine Learning
Er. Sanjeet Kumar, Aditya Agrawal, Khyati Singh, Yash Tripathi · 2024
The majority of people on the planet today have access to the Internet for text, image, audio, and video communication. On social media, people with different backgrounds share information about current events and express their opinions about them. Analysing people’s emotions is necessary in order to comprehend and identify the behaviour of such vast amounts of textual data about them. Human interaction is greatly influenced by emotions. A person’s speech, face gestures, body language, and sign actions can all be used to figure out their emotional state. These days, people communicate with each other via a variety of text-based devices, so extracting emotion from texts has become increasingly important. Therefore, it is essential that machines comprehend emotions in textual conversations in order to provide users with feedback on their emotional awareness.