Spam email classification data labeler and annotator
OtherTextClassification
Developed a machine learning-based spam email classifier, labeling text data as spam or ham for training and validation. Applied NLP techniques to annotate and preprocess email datasets for accurate model classification. Evaluated and categorized emails to create a reliable labeled dataset for supervised training.
• Used tokenization, stop-word removal, and TF-IDF for text processing.
• Organized and classified emails using Python and Scikit-learn.
• Enhanced data quality through meticulous labeling.
• Supported training of classification models by providing labeled text data.
Developed a machine learning-based spam email classifier, labeling text data as spam or ham for training and validation. Applied NLP techniques to annotate and preprocess email datasets for accurate model classification. Evaluated and categorized emails to create a reliable labeled dataset for supervised training. • Used tokenization, stop-word removal, and TF-IDF for text processing. • Organized and classified emails using Python and Scikit-learn. • Enhanced data quality through meticulous labeling. • Supported training of classification models by providing labeled text data.
2024 - Present