Hugging Face Jobs

I need a Natural Language Processing solution that accurately classifies social-media posts into predefined categories. The raw text will be provided in CSV format; it comes directly from public platforms and carries the usual noise—emojis, hashtags, abbreviations, and mixed languages—so an effective preprocessing pipeline is as important as the model itself. Here is how I picture the workflow. • Data handling: robust cleaning, tokenisation, and normalisation that respects emojis and common social-media shorthand. • Model building: a modern text-classification architecture (transformers via HuggingFace, or a lightweight scikit-learn baseline if you can justify comparable performance). • Training & evaluation: use train/validation/test splits and report ...