The resulting metadata can then be queried, and filtered by location and sentiment. To accomplish this, we’ll analyze text from customer review datasets to determine the overall sentiment of an individual review, as well as custom entities - repair type (Engine, Glass, Body), vehicle make/model, references to an individual mechanic, etc. Our focus here is to understand the overall sentiment/performance for each particular business and understand their speciality. This particular dataset contains a list of businesses and their associated reviews. In this tutorial, we will demonstrate how to utilize MongoDB aggregation, filtering, and sorting operations to discover trends and analytics in datasets.
0 Comments
Leave a Reply. |