Post by Sumit Bhardwaj

A structured approach to NLP classification starts with text cleaning and TF-IDF features, followed by classical models like Xgboost. Next, use RNNs or LSTMs for sequential understanding, and finally fine-tune Transformers such as BERT for context-rich, high-accuracy results. This progression ensures clarity, scalability, and professional-grade model performance. Notebook => https://lnkd.in/eDXafSZj