Identifying Different Chat Topics in a Communication Channel Using Cognitive Data Science

A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on at least one processor of a data processing system, causes the data processing system to implement a chat topic identification system for identifying chat topics in a multi-user messaging platform, wherein the computer readable program causes the data processing system to:

• receive, by the chat topic identification system, a plurality of chat messages submitted to a communication channel in the multi-user messaging platform;
• perform, by a cognitive content language analysis component executing within the chat topic identification system, cognitive content language analysis on at least one given chat message to determine relevance among words, to identify separate topic indicator words, and to build topic domains likely to be relevant to participants of the communication channel;
• perform, by a cognitive personality analysis component executing within the chat topic identification system, cognitive personality analysis on the at least one given chat message to determine a personality type associated with the at least one given chat message;
• perform, by a cognitive tone analysis component executing within the chat topic identification system, cognitive tone analysis on the at least one given chat message to determine a tone category associated with the at least one given chat message;
• perform, by a social data analysis component executing within the chat topic identification system, social data analysis to enhance a user profile associated with the at least one given chat message;
• store, by the chat topic identification system, results of the cognitive content language analysis, the cognitive personality analysis, the cognitive tone analysis, and the social data analysis in a user profile associated with the user to form an updated user profile;
• determining, by a new conversation prediction engine executing within the chat topic identification system, a conversation separation score representing a likelihood that a new conversation is being started in the communication channel, wherein the conversation separation score is generated based on analysis of the updated user profile containing previous cognitive analysis results from cognitive content language analysis, the cognitive personality analysis, the cognitive tone analysis, and the social data analysis;
• and
• generate, by a new conversation separation recommendation engine executing within the chat topic identification system, a conversation separation recommendation based on the conversation separation score and results of the cognitive content language analysis, the cognitive personality analysis, the cognitive tone analysis, the social data analysis, and the conversation feature analysis.

An apparatus comprising:

• a processor, and
• a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to implement a chat topic identification system for identifying chat topics in a multi-user messaging platform, wherein the instructions cause the processor to:
• receive, by the chat topic identification system, a plurality of chat messages submitted to a communication channel in the multi-user messaging platform;
• perform, by a cognitive content language analysis component executing within the chat topic identification system, cognitive content language analysis on at least one given chat message to determine relevance among words, to identify separate topic indicator words, and to build topic domains likely to be relevant to participants of the communication channel;
• perform, by a cognitive personality analysis component executing within the chat topic identification system, cognitive personality analysis on the at least one given chat message to determine a personality type associated with the at least one given chat message;
• perform, by a cognitive tone analysis component executing within the chat topic identification system, cognitive tone analysis on the at least one given chat message to determine a tone category associated with the at least one given chat message;
• perform, by a social data analysis component executing within the chat topic identification system, social data analysis to enhance a user profile associated with the at least one given chat message;
• store, by the chat topic identification system, results of the cognitive content language analysis, the cognitive personality analysis, the cognitive tone analysis, and the social data analysis in a user profile associated with the user to form an updated user profile;
• determine, by a new conversation prediction engine executing within the chat topic identification system, a conversation separation score representing a likelihood that a new conversation is being started in the communication channel, wherein the conversation separation score is generated based on analysis of the updated user profile containing previous cognitive analysis results from cognitive content language analysis, the cognitive personality analysis, the cognitive tone analysis, and the social data analysis;
• and
• generate, by a new conversation separation recommendation engine executing within the chat topic identification system, a conversation separation recommendation based on the conversation separation score and results of the cognitive content language analysis, the cognitive personality analysis, the cognitive tone analysis, the social data analysis, and the conversation feature analysis.