Hate Speech Annotator
- Annotated over 4,500 tweets containing a mixture of English, Ghanaian Pidgin, and Twi, identifying and classifying hate speech. - Ensured proper categorization of offensive language into themes such as racial, gender-based, and abusive language, supporting NLP model training for sentiment and hate speech detection. - Gained hands-on experience working with mixed-language datasets, relevant to NLP model training and sentiment analysis. - Worked independently to maintain accuracy, gaining insights into the intersection of linguistics and AI in mixed-language contexts.