Build Multi-Class Text Classification Models with RNN and LSTM

Used preprocessing text for customer support and complaint management.

Used GloVe embeddings for sentiment analysis and chatbots.

Email, review, or feedback classification with RNN and LSTM.

Handle imbalanced datasets in fraud detection and medical text analysis.

Evaluate models to enhance AI automation in customer service.

Build efficient pipelines for real-time financial and legal text analysis.

Save models for deployment in spam detection systems.

Prevent overfitting for healthcare and cybersecurity applications.

Use PyTorch for document classification and NLP tasks.

Develop AI solutions for call centers, CRM platforms, and ticketing systems.