Sentiment Analysis
Predict sentiment in text using CNN Classifier in Stanza
Project Overview
This project utilizes a CNN classifier implemented with Stanza to analyse and predict sentiment in text. Users can input text and receive sentiment classification results.
Technologies Used
Project Details
The Challenge
Accurately identifying sentiment in text is challenging due to linguistic nuances, sarcasm, context, and ambiguity in human language.
The Solution
This Flask application uses the Stanza NLP library to classify text sentiment with high accuracy.
Key Features
Real-time sentiment analysis of input text
Classify sentiment by each sentence (positive, negative)