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NLP Text Classification & Sentiment Analysis
Freelance⚡Manually reading and tagging high-volume text doesn't scale - clients needed automated categorisation and tone detection.
⚠️Off-the-shelf keyword rules missed context and nuance, mislabelling sarcasm, negation, and domain-specific language.
⚙️Built text-classification models that automatically route text into categories, and a sentiment system detecting positive/negative tone.
🛡️Implemented the pipelines on Hugging Face transformers, enabling fine-tuning and model swaps per client domain.
🚀Delivered an automated NLP pipeline converting unstructured text into structured labels and sentiment scores.
↳ Automatic text classification and sentiment (positive/negative) detection built on transformer pipelines
NLPTransformersHugging FaceSentiment AnalysisText ClassificationPython