Sentiment scoring for remote communication sessions

A communication system comprising one or more processors configured to:

• connect to a communication session with a plurality of participants;
• receive a transcript of a conversation between the participants produced during the communication session;
• extract, from the transcript, a plurality of utterances comprising one or more sentences spoken by the participants;
• identify a subset of the plurality of utterances spoken by a subset of the participants associated with a prespecified organization;
• for each utterance in the plurality of utterances:
• determine a word sentiment score for each word in the utterance, and
• determine an utterance sentiment score based on the word sentiment scores;
• determine an overall sentiment score for the conversation based on the utterance sentiment scores;
• and
• present, to one or more client devices, at least the overall sentiment score for the conversation.

A non-transitory computer-readable medium containing instructions for generating a note with session content from a communication session, comprising:

• instructions for connecting to a communication session with a plurality of participants;
• instructions for receiving a transcript of a conversation between the participants produced during the communication session;
• instructions for extracting, from the transcript, a plurality of utterances comprising one or more sentences spoken by the participants;
• instructions for identifying a subset of the plurality of utterances spoken by a subset of the participants associated with a prespecified organization;
• for each utterance in the plurality of utterances:
• instructions for determining a word sentiment score for each word in the utterance, and
• instructions for determining an utterance sentiment score based on the word sentiment scores;
• instructions for determining an overall sentiment score for the conversation based on the utterance sentiment scores;
• and
• instructions for presenting, to one or more client devices, at least the overall sentiment score for the conversation.