Text Data Annotator for Cyberbullying Detection Model (LSTM)
TextClassification
Processed and labeled text data to train an LSTM model for detecting harmful online content. Performed data cleaning, annotation, and categorization of user-generated social media posts. Prepared labeled datasets for supervised machine learning and NLP research. • Labeled instances of cyberbullying and non-cyberbullying content
• Used Python and NLP libraries for data handling and annotation
• Maintained consistent class definitions and annotation standards
• Supported model evaluation with accurately labeled validation data
Processed and labeled text data to train an LSTM model for detecting harmful online content. Performed data cleaning, annotation, and categorization of user-generated social media posts. Prepared labeled datasets for supervised machine learning and NLP research. • Labeled instances of cyberbullying and non-cyberbullying content • Used Python and NLP libraries for data handling and annotation • Maintained consistent class definitions and annotation standards • Supported model evaluation with accurately labeled validation data
2022 - 2022