Graph-based search leveraging sentiment analysis of user comments

A computer-implemented method comprising:

• constructing, by a processor, a query that is indicative of a user's preference-levels for different features of a product, the query being constructed using a radar graph that includes axes on which positions of nodes of a polygon are adjustable to indicate the user's preference-levels for different features of the product;
• and
• executing, by the processor, the constructed query by comparing the user's preference-levels for the different features of the product with information related to sentiments expressed by other users regarding the product;
• outputting results obtained from execution of the constructed query,
• wherein the information related to the sentiments expressed by the other users regarding the product is mapped into a vector space with dimensions that correspond with the different features of the product.

A computer-implemented graph-based search interface comprising:

• a processor;
• a graphical-query construction component, executable by the processor, configured to allow a user to construct a graph-based query by adjusting positions of nodes of a polygon on different corresponding axes of a radar graph in which each axis of the axes represents an independent measure related to a single product feature, wherein the constructed graph-based query includes a user-desired product performance graph in which the user's preference-levels for different features of a product are represented graphically;
• a graphical-query submission component, executable by the processor, configured to receive a graphical-search initiation command from the user and to responsively submit the graph-based query for execution;
• and
• a display component configured to, upon execution of the graph-based query, display returned system-generated product performance graphs that are similar to the user-desired product performance graph.