Advanced Sentiment Analysis Web App

Project : https://sentiment-analysis-mode-wise.streamlit.app/ Project Code : https://github.com/Pushpraj-Gour/Sentiment-Analysis-Deep-Learning- "Welcome to MoodWise! 🌟 In this video, I showcase my cutting-edge sentiment analysis web app, MoodWise, which utilizes advanced natural language processing (NLP) and machine learning techniques to predict emotions from text data with an impressive accuracy of 88%. Here's what you can expect: 🔍 Key Features: LSTM Neural Network: Leveraging Long Short-Term Memory (LSTM) neural networks for accurate sentiment prediction. Data Preprocessing: Comprehensive preprocessing including HTML tag removal, punctuation removal, stopwords elimination, padding, and tokenization. GloVe Word Embeddings: Using GloVe for numerical representation of words to enhance model performance. Streamlit Deployment: A user-friendly web application enabling real-time emotion prediction and probability visualization. 📊 Sentiment Prediction: Our model predicts 10 different types of sentiments, providing a detailed analysis of text data. Whether you're a data science enthusiast, a developer, or someone interested in AI, MoodWise offers an insightful glimpse into the world of sentiment analysis. Don't forget to like, share, and subscribe for more exciting projects! #SentimentAnalysis #MachineLearning #NLP #LSTM #AI #DataScience #WebApp #MoodWise #TensorFlow #Keras #Streamlit #GloVe