Enhancing Deep Learning Models for Sentiment Analysis Integrating Texts and Emojis: A Comprehensive Survey

Sentiment analysis is used to get meaningful insights from data that is being retrieved from various resources or social media platforms. Sentiment analysis plays an important role in making crucial decisions that can improve the existing status significantly. This survey addresses and compares various machine learning models and deep learning models that have been recently employed for efficient sentiment analysis. In general, people use both texts and emojis to express their emotions. Considering the above fact, the proposed system addresses reviews that integrate both texts and emojis. The convolution neural network (CNN) is trained with a dataset that contains a cluster of texts and emojis. However, the texts and emojis are handled separately by processing them independently for efficient results.