Sentiment Text Classification
Labeled short text samples into Positive, Negative, and Neutral categories using the open-source tool Label Studio. Compared my manual labels with the dataset’s existing auto-labels, identifying approximately 36% labeling errors—with several neutral and positive texts incorrectly marked as negative.