FashionNLP is a new NLP tool to extract fashion entities and link them to our FashionBrain taxonomy
In this repository, we provide a natural language processing tool called FashionNLP which is specially designed for fashion textual data. This tool extends existing state of the art NER technique to fashion application. More specifically, FashionNLP has three main components: NER, where fashion entities are recognized on textual data, NEL, where we link the fashion entity to the FashionBrain taxonomy and finally, in case the fashion entity does not exist in the FashionBrain taxonomy, we add it to the taxonomy.