Abstract: Technologies and implementations for training a predictive intelligence associated with electronic discovery (e-discovery) are generally disclosed.

Abstract: A system for providing review based navigation on an e-commerce website, generally includes a product discovery system for responding to an user query and navigation request to discover and shop for a product with specific traits and features; a trait discovery system for predictively determining a list of traits of the product which exactly matches the product queried by the end user and a data integration system for matching a query by the end user to a product associated with the list of product traits and for matching the query by the end user to a product review with the list of traits for the product desired by the end user.

Abstract: Methods and systems for providing review based navigation on an ecommerce website are described. The method comprises receiving a user query associated with a specific feature of a product. According to the method, a sentiment analysis of a plurality of reviews associated with the product is performed, along with topic based modeling and contextualization of the reviews by relevance to the query. The analysis may provide a sentiment classification regarding the strengths and weaknesses of each product for that specific feature based on the plurality of reviews associated with the product. The method further provides topic based navigation of the ecommerce website, contextualization of the prior customer reviews, and product relevance. In response to the user query, the contextualized product(s) are displayed to aid the user in selecting a product for purchase.