Expected group chat segment duration

#The present invention relates, generally, to the field of computing, and more particularly to chat summarization.

#Summarization may relate to the process of generating a shortened document of a corpora. In the field of computing and computer analytics, summarization may be performed using natural language processing software capable of determining one or more major points of the document to be summarized and placing those identified points into a logical sequence. Furthermore, computer summarization of data may be capable of understanding user preconfigured variables when creating a summary, such as summary length, writing style, and syntax.

#According to one embodiment, a method, computer system, and computer program product for calculating a group chat segment duration is provided. The embodiment may include capturing a plurality of group chat messages from a chat message repository. The embodiment may also include determining a probability distribution based on analyzing the captured group chat messages over a time vector. The embodiment may further include calculating a time parameter based on the determined probability distribution. The embodiment may also include calculating a content parameter based on one or more relevant chat topics. The embodiment may further include calculating an attendee parameter based on a plurality of attendees and one or more attendee associations. The embodiment may also include determining a chat duration prediction based on the calculated time parameter, the calculated content parameter, and the calculated attendee parameter.

#These and other objects, features and advantages of the present invention will become apparent from the following detailed description of illustrative embodiments thereof, which is to be read in connection with the accompanying drawings. The various features of the drawings are not to scale as the illustrations are for clarity in facilitating one skilled in the art in understanding the invention in conjunction with the detailed description. In the drawings:

#FIG. 1 illustrates an exemplary networked computer environment according to at least one embodiment;

#FIG. 2 is an operational flowchart illustrating a chat segment duration process according to at least one embodiment;

#Detailed embodiments of the claimed structures and methods are disclosed herein; however, it can be understood that the disclosed embodiments are merely illustrative of the claimed structures and methods that may be embodied in various forms. This invention may, however, be embodied in many different forms and should not be construed as limited to the exemplary embodiments set forth herein. In the description, details of well-known features and techniques may be omitted to avoid unnecessarily obscuring the presented embodiments.

#Embodiments of the present invention relate to the field of computing, and more particularly to chat summarization. The following described exemplary embodiments provide a system, method, and program product to, among other things, predict chat segment duration. Therefore, the present embodiment has the capacity to improve the technical field of chat summarization by analyzing a group chat as segments (e.g., time, topic, and attendee information) rather than as a single monolithic conversation to produce an estimation with a more precise modelling distribution. Additionally, the present embodiment may result in high precision, accurate models in the realm of real-time chat aggregation.

#As previously described, summarization may relate to the process of generating a shortened document of a corpora. In the field of computing and computer analytics, summarization may be performed using natural language processing software capable of determining one or more major points of the document to be summarized and placing those identified points into a logical sequence. Furthermore, computer summarization of data may be capable of understanding user preconfigured variables when creating a summary, such as length, writing style, and syntax.