Clustering products by text

To effectively cluster furniture and decor products by title, description, and dimensions, start by identifying key attributes that define each item. Begin with categorizing products based on their primary features, such as style (modern, rustic) and type (sofa, lamp). Utilize natural language processing techniques to analyze text data and group similar items together. Once basic categories are established, explore advanced clustering methods, like hierarchical clustering or k-means, to refine your organization. This approach will enhance user navigation and improve overall shopping experiences.