Emotion Detection using Natural Language Processing
Damam Sakethnath, Harjeet Kaur, Arun Kumar Singh · 2022
Online reviews of products, travel destinations, or movies are frequently given as sure opinions. As a result, sentiment analysis and opinion gathering become routine tasks. Consequently, the demand for automated text sentiment analysis has increased. Instead of reading reviews, it is useful to obtain opinions and sentiments regarding a particular subject. The Support Vector Machine, Naive Bayes, Decision Tree, and K-Nearest Neighbor are machine learning approaches, as well as the deep neural network, a Recurrent Neural Network and Long Short-Term Memory (LSTM), are the two main methodologies of sentiment analysis employed in this paper. Additionally, in this work applications of two techniques using three Twitter datasets are done: Netflix, Flipkart, and Tourism. Additionally, visual comparison of several strategies is also shown, and the Recurrent Neural Network experiment results are displayed.