Ameliorative resource action during an e-conference

A computer program product for enacting an ameliorative resource action during an e-conference, the computer program comprising:

• one or more computer-readable storage media and program instructions stored on the one or more computer-readable storage media, the program instructions including a method, the method comprising:
• collecting data from a user's computer device during the e-conference;
• extracting features from the collected e-conference data;
• forecasting a user's participation within the e-conference and a resource consumption thereof by applying a user activity model to the extracted features;
• and
• enacting the ameliorative resource action based upon the forecasted user's participation and the resource consumption thereof,
• wherein the collected data is selected from a group consisting of e-conference audio feed, e-conference video feed, e-conference activity of the user, an itinerary of the user, and resource consumption of a computing device associated with the user,
• wherein the extracted features include a topic of the e-conference, a user activity during the e-conference, a resource consumption during the e-conference, and an itinerary corresponding to the user, and
• wherein the extracting features from the collected e-conference data further comprises:
• applying natural language processing to spoken speech of the e-conference audio feed and written text of the e-conference video feed;
• applying a convolutional neural network to graphics within the e-conference video feed;
• and
• extracting the topic corresponding to the e-conference based on an output of the natural language processing and the convolutional neural network.

A computer system for enacting an ameliorative resource action during an e-conference, the system comprising:

• one or more computer processors, one or more computer-readable storage media, and program instructions stored on the one or more of the computer-readable storage media for execution by at least one of the one or more processors, the program instructions including a method comprising:
• collecting data from a user's computer device during the e-conference;
• extracting features from the collected e-conference data;
• forecasting a user's participation within the e-conference and a resource consumption thereof by applying a user activity model to the extracted features;
• and
• enacting the ameliorative resource action based upon the forecasted user's participation and the resource consumption thereof,
• wherein the collected data is selected from a group consisting of e-conference audio feed, e-conference video feed, e-conference activity of the user, an itinerary of the user, and resource consumption of a computing device associated with the user,
• wherein the extracted features include a topic of the e-conference, a user activity during the e-conference, a resource consumption during the e-conference, and an itinerary corresponding to the user,
• wherein the extracting features from the collected e-conference data further comprises:
• applying natural language processing to spoken speech of the e-conference audio feed and written text of the e-conference video feed;
• applying a convolutional neural network to graphics within the e-conference video feed;
• and
• extracting the topic corresponding to the e-conference based on an output of the natural language processing and the convolutional neural network.