Sentiment Analysis Classifier

Category : AI Model

Client : My university Project

Description : Built a classifier to analyze user comments and classify sentiments as positive or negative using machine learning techniques. The model processes natural language to understand context and emotional tone.

Technologies : Python, TensorFlow, PyTorch, NumPy, Pandas, OpenCV, scikit-image and yolo

Accuracy : 89%

Categories : 2

Trained On : 12K

Project URL : GitHub Repository

Project date : 2025/08/01