Microsoft Technology Licensing, LLC

Tachen Chester Ni

Jessica Lundin

Reid Joseph Kuhn

Warren David Johnson, Iii

Himesh Shah

Kang Su Gatlin

Christian A Gschwend

Christina S Gentile

Ryan P DiCicco

Shireen Z Asous

Techniques and technologies for using an intelligent meeting classifier to assess and enhance a work-related productivity are described. In at least some embodiments, a system includes a processing component operatively coupled to a memory; a productivity analyzer configured to perform operations including classifying one or more calendar events based at least partially on calendar data associated with one or more users; assessing one or more productivity metrics based at least partially on one or more calendar event classifications; determining one or more situation-enhancing operations based on the assessed one or more productivity metrics; and performing the one or more situation-enhancing operations.

Intelligent meeting classifier

Techniques described herein are directed to a sentiment analysis engine for classifying and quantifying customer sentiments between a customer and an agent. The sentiment analysis engine includes a data acquisition engine configured to receive data from a plurality of different communication channels. A preprocessing engine of the sentiment analysis engine is configured to apply rule(s) that are configured to perform formatting and/or filtering operations on the received data and/or isolate customer-provided messages from agent-provided messages. A customization engine of the sentiment analysis engine is configured to perform channel-specific customizations on the received data, such as, but not limited to interpreting the data in a channel-specific manner A batch scoring engine of the sentiment analysis engine is configured to quantify customer sentiments in real-time (e.g., during a communication session between the customer and agent), and such sentiments may be displayed via a GUI utilized by an authorized individual.

Multi-channel customer sentiment determination system and graphical user interface

A computer-implemented technique is described herein for rescheduling events within calendars to achieve a target objective with respect to target occurrences of a particular kind in the calendars. For instance, the target occurrences may correspond to instances of free time, and the target objective is to increase the amount of minimum-sized free-time blocks within the calendars, e.g., by favoring the introduction of large free-time blocks of minimum size (e.g., two-hour blocks), and disfavoring the presence of smaller-sized free-time blocks scattered among calendar events. In other words, the technique defragments the calendars with respect to free time expressed in those calendars. At the same time, the technique honors (when possible) participant-related constraints associated with calendar events. Further, the technique penalizes modification of an event as a function of a temporal distance over which the event is moved; this penalization has the effect of reducing disruption to the calendars.

Rescheduling events to defragment a calendar data structure

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Bellevue, WA, United States of America

Tachen Chester Ni