PATENT CLAIM ANALYSIS

Application Number: 16170289
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["704", "235000"]

Abstract:
Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcribed audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.

Claim (Index 28):
The method of  claim 21 , further comprising:\n calculating a difference between the word use frequencies for each word in the selected transcripts and the non-selected transcripts; and comparing the difference to a predetermined selection threshold, wherein if the difference is greater than the predetermined selection threshold, the word is identified as a discriminating word.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 97.0
- Lexical Diversity: 1.73438
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16170297', '14084976', '16170278', '14084974', '16170306']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3267402134598016
- 35 USC 102 Novelty (BERT): 0.5781609083446088
- Combined Prediction Score: 0.3518822829482823
- Mean Citation Score: 451.932038
- Max Citation Score: 536.86487
- Similarity Product: 371.6596252575982

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test