AI Data Annotation & Text Classification Project
Working on a self-initiated AI training project focused on preparing and labeling text data for classification tasks. Performing text classification by categorizing data into predefined labels such as sentiment (positive, negative, neutral) and topic-based categories. Cleaning and preprocessing datasets by handling missing values, correcting inconsistencies, and standardizing formats to ensure high-quality data for model training. Following structured annotation guidelines to maintain consistency and accuracy across the dataset. Regularly reviewing and validating labeled data to minimize errors and improve reliability. Additionally gaining hands-on experience with unstructured data through a Text Analyzer API project, understanding how labeled data contributes to machine learning model performance.