Determining topics and action items from conversations

A system for organizing conversation information over a network, comprising:

• a network computer, comprising:
• a memory that stores at least instructions;
• and
• one or more processors that are configured to execute instructions to perform actions, wherein the actions include:
• employing two or more machine learning (ML) models and a plurality of sentences provided from a conversation to generate an insight score for each of the plurality of sentences, wherein each insight score is based on two or more partial insight scores that each correspond to an ML model, and wherein each insight score correlates to a probability that its sentence includes one or more of an action or a question;
• in response to one or more sentences associated with one or more insight scores that exceed a threshold value, performing further actions, including:
• determining an information score for each of the one or more of the plurality of sentences based on a number of included object words, a number of included subject words, a number of included insight words, and one or more included grammatical features;
• determining a definiteness score for each of the one or more of the plurality of sentences based on decision-making words included in the one or more sentences, wherein each sentence that includes an amount of words associated with conclusive decision-making words are scored higher than other sentence that includes another amount of words associated with the conclusive decision-making words that is less than the amount of words associated with the conclusive decision-making words;
• generating one or more insights associated with the conversation based on the one or more of the plurality of sentences, the determined information score for each of the one or more of the plurality of sentences, and the determined definiteness score for each of the one or more of the plurality of sentences;
• and
• generating a report that associates the one or more insights with one or more portions of the conversation that include the one or more of the plurality of sentences and that are associated with the one or more insights;
• and
• a client computer, comprising:
• another memory that stores at least instructions;
• and
• one or more other processors that are configured to execute instructions to perform actions, wherein the actions include:
• providing the plurality of sentences to the network computer;
• and
• displaying the report.

A processor readable non-transitory storage media that includes instructions for organizing conversation information over a network, wherein execution of the instructions by one or more hardware processors causes actions to be performed, wherein the actions comprising comprise:

• employing two or more machine learning (ML) models and a plurality of sentences provided from a conversation to generate an insight score for each of the plurality of sentences, wherein each insight score is based on two or more partial insight scores that each correspond to an ML model, and wherein each insight score correlates to a probability that its sentence includes one or more of an action or a question;
• in response to one or more sentences associated with one or more insight scores that exceed a threshold value, performing further actions, including:
• determining an information score for each of the one or more of the plurality of sentences based on a number of included object words, a number of included subject words, a number of included insight words, and one or more included grammatical features;
• determining a definiteness score for each of the one or more of the plurality of sentences based on decision-making words included in the one or more sentences, wherein each sentence that includes an amount of words associated with conclusive decision-making words are scored higher than other sentence that includes another amount of words associated with the conclusive decision-making words that is less than the amount of words associated with the conclusive decision-making words;
• generating one or more insights associated with the conversation based on the one or more of the plurality of sentences, the determined information score for each of the one or more of the plurality of sentences, and the determined definiteness score for each of the one or more of the plurality of sentences;
• and
• generating a report that associates the one or more insights with one or more portions of the conversation that include the one or more of the plurality of sentences and that are associated with the one or more insights.

A network computer for organizing conversation information over a network, comprising:

• a memory that stores at least instructions;
• and
• one or more processors that are configured to execute instructions to perform actions, wherein the actions include:
• employing two or more machine learning (ML) models and a plurality of sentences provided from a conversation to generate an insight score for each of the plurality of sentences, wherein each insight score is based on two or more partial insight scores that each correspond to an ML model, and wherein each insight score correlates to a probability that its sentence includes one or more of an action or a question;
• in response to one or more sentences associated with one or more insight scores that exceed a threshold value, performing further actions, including:
• determining an information score for each of the one or more of the plurality of sentences based on a number of included object words, a number of included subject words, a number of included insight words, and one or more included grammatical features;
• determining a definiteness score for each of the one or more of the plurality of sentences based on decision-making words included in the one or more sentences, wherein each sentence that includes an amount of words associated with conclusive decision-making words are scored higher than other sentence[[s]] that includes another amount of words associated with the conclusive decision-making words that is less than the amount of words associated with the conclusive decision-making words;
• generating one or more insights associated with the conversation based on the one or more of the plurality of sentences, the determined information score for each of the one or more of the plurality of sentences, and the determined definiteness score for each of the one or more of the plurality of sentences;
• and
• generating a report that associates the one or more insights with one or more portions of the conversation that include the one or more of the plurality of sentences and that are associated with the one or more insights.