A Flask-based web application that detects emotions from text using Watson NLP services. This application analyzes user input and identifies emotions such as anger, disgust, fear, joy, and sadness, providing scores for each emotion and determining the dominant emotion.
This project contains assets and information related to create a custom Watson NLP and Watson NLP for Embed models.
A Python-based web application that analyzes text to detect emotions (joy, anger, sadness, fear, disgust) using the IBM Watson NLP library. The application is deployed using Flask and includes comprehensive unit tests.
This project contains an example Jupyter Notebook to build a classification model in Watson Studio with Watson NLP.
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