Abstract: Systems and processes for operating an intelligent automated assistant to provide customized suggestions based on user-specific information are provided. An example method includes obtaining impressions and performing, based on the impressions, at least one of: analyzing sentiment of at least a portion of the impressions; and predicting user intent based on at least a portion of the impressions. The method further includes determining a plurality of concepts based on the obtained impressions; and weighing the plurality of concepts based on context associated with obtaining the impressions and based on at least one of a sentiment analysis result or a predicted user intent. The method further includes generating, based on the one or more weighted concepts, a representation of a collection of user-specific information; and facilitating to provide one or more suggestions to the user based on the representation of the collection of user-specific information.

Abstract: Systems and processes for operating a digital assistant are provided. In accordance with one or more examples, a method includes, at a user device with one or more processors and memory, receiving unstructured natural language information from at least one user. The method also includes, in response to receiving the unstructured natural language information, determining whether event information is present in the unstructured natural language information. The method further includes, in accordance with a determination that event information is present within the unstructured natural language information, determining whether an agreement on an event is present in the unstructured natural language information. The method further includes, in accordance with a determination that an agreement on an event is present, determining an event type of the event and providing an event description based on the event type.

Abstract: Systems and processes for operating a digital assistant are provided. In accordance with one or more examples, a method includes, at a user device with one or more processors and memory, receiving unstructured natural language information from at least one user. The method also includes, in response to receiving the unstructured natural language information, determining whether event information is present in the unstructured natural language information. The method further includes, in accordance with a determination that event information is present within the unstructured natural language information, determining whether an agreement on an event is present in the unstructured natural language information. The method further includes, in accordance with a determination that an agreement on an event is present, determining an event type of the event and providing an event description based on the event type.