Sentiment Analysis for Social Media Presence
S. Saya, Shreelaxmi K Malawade, Smaranya Vijaya Krishna, K S Vaishnavi, Shylaja B · Research Square · 2024
Abstract This Flask - React application offers a versatile platform for sentiment analysis on both text and image data. It includes functionalities for batch text sentiment prediction, single text input analysis, and image sentiment prediction with generated captions. Leveraging machine learning and deep learning techniques, the app provides insights into sentiment distribution, catering to diverse use cases such as social media monitoring and content moderation. Through this project, we provide real – time solutions for the analysis of comments and images with the use of a Gradient Boosting Classifier and the VGG16 convolutional model with an accuracy of 82% when compared with the output of the sentiment module itself present in TextBlob.