Wilame·Jul 13, 2023Generative AI in Fashion and Retail: Visualizing Products and TrendsFashion is a dynamic and ever-evolving industry driven by creativity and the pursuit of the next big trend. Designers constantly seek…
Wilame·Jul 10, 2023Enhancing Idea Generation and Refinement with Chat GPT and Stable DiffusionIn creative thinking and problem-solving, idea generation and refinement are crucial processes that foster innovation and progress…
InAnalytics VidhyabyWilame·Dec 6, 2019Language, word embeddings and brands: using Natural Language Processing to pierce fashion bubblesWord embeddings are useful not only to traditional NLP tasks, but also to capture context, signification shift and brand alignment.
InThe StartupbyWilame·Oct 9, 2019Anonymize facial data on video: blur people’s faces using OpenCVThere’s a lot of hype about object detection. Computer vision has become the new quest in Fashion industry.A response icon1A response icon1
InTDS ArchivebyWilame·Feb 8, 2019How to label text for sentiment analysis — good practisesHave you ever started a sentiment analysis or other text classification task only to see that you are not getting good results?A response icon5A response icon5
Wilame·Jan 22, 2019Why is removing stop words not always a good ideaRemoving stop words is a difficult choice. You should not remove them every time. But when is this step really necessary?A response icon4A response icon4
Wilame·Dec 7, 2018Using Machine Learning and Rasa to predict the best gift to someoneHere’s how I build a bot able to predict the best gift to someone based on the person’s description.
Wilame·Nov 19, 2018spaCy basic features: comparing performance for Portuguese, French and EnglishspaCy is a great tool for NLP. The open source library is free, fast and easy to use.
Wilame·Oct 29, 2018How to easily structure unstructured e-commerce data with Rasa NLULet’s use Rasa NLU to find prices and evaluations of products available on Amazon.A response icon1A response icon1
Wilame·Oct 22, 2018Multivariable sentiment analysis with FeatureUnionLet’s use FeatureUnion on a Sentiment Analysis problem. This is useful if you need to add extra variables to make better predictions.A response icon1A response icon1
