Patent ID: 9620147
Date: 2017-04-11
CPC Classifications: G10L

Claim:
1. A method comprising: providing at least one transcript of utterances from a conversation between two or more parties to a word weight scoring module to perform inverse document frequency based scoring on each word in the at least one transcript, thereby generating a weight for each word, wherein the inverse document frequency based scoring measures the frequency of each word throughout the at least one transcript; calculating a weight for each utterance in the transcript to generate weighted utterances by assigning to each utterance the weight of the word with a maximum weight that occurs in each utterance; comparing at least one weighted utterance to pre-existing example utterances carrying an intent of a speaker to determine a relevancy score for the at least one weighted utterance based on similarity to the example utterances; and generating a ranked order of the at least one weighted utterance from highest to lowest intent relevancy score, wherein the highest intent relevancy score corresponds to the utterance which is most likely to carry intent of the speaker, and wherein said generating is carried out by a relevant propagation module executing on a hardware processor of a computing device.