Abstract: Systems, methods, and storage media for providing a content recommendation service based on user viewed content without access to the user viewed content are disclosed. Exemplary implementations may: make an executable translation component available to a content provider; receive, from the content provider, multiple sets of content information; store the sets of content information in a database; receive a request from the content provider to provide a content recommendation; receive a content ID for content viewed by a user; query the database with a query based on embedding data corresponding to the content ID for content viewed by a user; process the query to obtain additional content IDs which correspond to additional content that is related to the content viewed by the user; and send the additional content IDs to the content provider.

Abstract: User-generated content is processed from multiple online sources. A sentiment value is determined for a subject based on the user-generated content from the multiple online sources. The sentiment value can be determined by associating a weight with at least a first online source of the multiple online sources. An output can be generated for the sentiment value.

Abstract: A system and method for determining sentiment from user-generated text content is provided. A sentiment score is determined for one or more terms in a user-generated text content. A sentiment value is determined for the text content that is based at least in part on the sentiment score for the one or more terms.

Abstract: A system and method for determining sentiment from user-generated text content is provided. A sentiment score is determined for one or more terms in a user-generated text content. A sentiment value is determined for the text content that is based at least in part on the sentiment score for the one or more terms.

Abstract: An overall sentiment is determined amongst a population of persons, for each of a plurality of commercial entities.