Intent mining via analysis of utterances
Abstract
According to example configurations, a speech processing system can include a syntactic parser, a word extractor, word extraction rules, and an analyzer. The syntactic parser of the speech processing system parses the utterance to identify syntactic relationships amongst words in the utterance. The word extractor utilizes word extraction rules to identify groupings of related words in the utterance that most likely represent an intended meaning of the utterance. The analyzer in the speech processing system maps each set of the sets of words produced by the word extractor to a respective candidate intent value to produce a list of candidate intent values for the utterance. The analyzer is configured to select, from the list of candidate intent values (i.e., possible intended meanings) of the utterance, a particular candidate intent value as being representative of the intent (i.e., intended meaning) of the utterance.
Claims
exact text as granted — not AI-modified1 . A method comprising:
parsing an utterance to identify syntactic relationships amongst words in the utterance; creating sets of words from the utterance based on the syntactic relationships; mapping each set of the sets of words to a respective candidate intent value to produce a list of candidate intent values for the utterance; and selecting, from the list, a candidate intent value as being representative of an intent of the utterance.
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