Abstract: A method, a system, and an article are provided for automatically responding to requests from users in an online messaging system. An example method includes: providing an online messaging system; receiving a new request from a user in the online messaging system; determining that the new request is suitable for an automatic response to the user based on at least one of a request category, a request length, or a request sentiment; retrieving, from a database, a previous automatic response associated with a previous request that is similar to the new request; and providing the retrieved previous automatic response to the user in the online messaging system.

Abstract: Systems and method herein include receiving location-based data locations associated with each of a plurality of users. The location-based data can be published to a first channel of a plurality of channels and based on a location associated with a first user of the plurality of users a computer processing device determines an analysis result associated with the first user. The analysis results can be published to a second channel and an output to the first user device can be generated in response to the analysis result.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a message authored by a user, determining, using a first classifier, that the message contains at least a first word describing positive or negative sentiment and, based thereon, extracting, using a first feature extractor, one or more features of the message, wherein each feature comprises a respective word or phrase in the message and a respective weight signifying a degree of positive or negative sentiment, and determining, using a second classifier that uses the extracted features as input, a score describing a degree of positive or negative sentiment of the message, wherein the first feature extractor was trained with a set of training messages that each was labeled as having positive or negative sentiment.

Abstract: Implementations of the present disclosure are directed to a method, a system, and an article for suggesting emoji for insertion into a communication having text or other content. A plurality of features corresponding to the communication are obtained and provided to a plurality of emoji detection modules. A set of emoji and first confidence scores are received from each emoji detection module and provided to at least one classifier. A proposed set of candidate emoji and second confidence scores are received from the at least one classifier. A candidate emoji is inserted into the communication.