Text Labeling & Classification for Automated Review Analysis (Project)
OtherTextClassification
This project encompassed end-to-end pipeline work on a text classification and feature engineering task. The labeling steps involved cleaning text, generating structured features, and evaluating classifier outputs for AI-driven review categorization. Attention was paid to precision, recall, and F1 metrics to gauge annotation signal quality.
• Processed large-scale text data for classification and feature extraction.
• Trained and evaluated classifiers for sentiment/feature labeling.
• Generated and interpreted evaluation results, focusing on label quality.
• Developed thematic summaries to enhance insight extraction.
This project encompassed end-to-end pipeline work on a text classification and feature engineering task. The labeling steps involved cleaning text, generating structured features, and evaluating classifier outputs for AI-driven review categorization. Attention was paid to precision, recall, and F1 metrics to gauge annotation signal quality. • Processed large-scale text data for classification and feature extraction. • Trained and evaluated classifiers for sentiment/feature labeling. • Generated and interpreted evaluation results, focusing on label quality. • Developed thematic summaries to enhance insight extraction.
2023 - 2023