6 articles tagged with "NLP"
Series How I tackled the universal 'what's for dinner' problem over a decade ago using classical data science — cleansing 20,000 recipes, 200,000 ingredient records, and nutritional data into a unified ML-ready dataset.
Series Using cosine similarity on nutritional vectors to find recipes that match a target meal's nutrition profile but offer completely different flavors — at both the recipe and menu level.
Series Years after building the original ML pipeline, LLMs changed everything — using the ChatGPT API to simplify elaborate recipes into weeknight-friendly meals, and reflecting on a decade-long journey from cosine similarity to LSTM to GPT.
Series Reframing meal planning as a text generation problem — using LSTM neural networks with temperature-controlled sampling to predict diverse, non-repetitive menus from historical meal sequences.
Series How choosing DeepSeek as a translation provider based on cost alone led to Chinese text leakage, latency issues, and data exposure -- and why I unified everything under ChatGPT.
Tutorial Building a dictionary-based sentiment analysis tool that scores Twitter tweets as positive or negative using MeCab morphological analysis and a sentiment polarity dictionary.