1. A method for providing augmented product specifications based on user reviews, comprising: obtaining input data of specifications and user reviews on a plurality of products, each product corresponding to a plurality of specifications and a plurality of user reviews, each specification including at least a pair of a feature and a feature-value of the product; concatenating the user reviews of the products to form product-documents, each product-document corresponding to the concatenated user reviews of a product; employing a topic model to process the input data and learn topic distributions in the product-documents and word distributions in topics, the topics including specifications of the products, the topic model being a type of statistical model for discovering topics that occur in a collection of product-documents, each product-document containing one or more topics, and each topic existing in one or more documents; and providing augmented specifications to a user based on the topic model, the augmented specifications including one or more of relevant sentences of the feature-value, feature importance information, and product-specific words of the product.