About this document
Deep Learning for Text & Video Sentiment Analysis by asillerpromosyon is a document available to read on EtoBox.
The document presents a project on sentiment analysis that integrates text and video data using deep learning techniques, specifically LSTM networks, Word2Vec embeddings, and CNNs. The developed application achieves an accuracy rate of 85%-90% and aims to enhance the understanding of human emotions for various applications like marketing and research. The project also discusses the implementation of a user-friendly GUI using PyQt5 to display sentiment analysis results effectively.
- Author
- asillerpromosyon
- Language
- EN