EMOTION RECOGNITION BY TEXTUAL TWEETS USING VOTING CLASSIFIER (LR-SGD)
International Research Journal of Modernization in Engineering Technology and Science · 2023
The analysis of social media posts is a grueling task, particularly the recognition of stoner feelings.Text is one of the most common mediums used by humans to express emotion, particularly on social media platforms.Twitter is being used to collect views about products, trends, and politics.Sentiment analysis is a fashion used to dissect the station, feelings and opinions of different people towards anything, and it can be carried out on tweets to dissect public opinion on news, programs, social movements, and personalities.By employing Machine literacy models, opinion mining can be performed without reading tweets manually.Emotion plays a vital part in mortal day-to-day life conveying their passions and situation in their life.feelings can be expressed using speech, gestures facial expression, or textbook.happy or joy, sad, nausea, wrathfulness, fear and surprise as introductory emotion.Emotion Discovery from textual source can be done using Logistic Retrogression-Stochastic grade Decent.