NLP Text Annotation & Sentiment Classification Project
MercorTextClassificationEvaluation Rating
Annotated and categorized unstructured text datasets for supervised machine learning applications. Assigned classification labels based on predefined annotation guidelines and ensured consistency across large volumes of data.
Performed quality assurance checks to identify inconsistencies and reduce labeling errors. Reviewed edge cases and refined labels to maintain dataset integrity. Supported model evaluation workflows by analyzing misclassified outputs and improving annotation reliability.
Annotated and categorized unstructured text datasets for supervised machine learning applications. Assigned classification labels based on predefined annotation guidelines and ensured consistency across large volumes of data. Performed quality assurance checks to identify inconsistencies and reduce labeling errors. Reviewed edge cases and refined labels to maintain dataset integrity. Supported model evaluation workflows by analyzing misclassified outputs and improving annotation reliability.
2024 - 2024