PATENT CLAIM ANALYSIS

Application Number: 16015761
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["704", "235000"]

Abstract:
Examples described herein improve the way in which a transcript is generated and displayed so that the context of a conversation taking place during a meeting or another type of collaboration event can be understood by a person that reviews the transcript (e.g., reads or browses through the transcript). The techniques described herein use voice recognition to identify a user that is speaking during the meeting. Accordingly, when the speech of the user is converted to text for the transcript, the text can be attributed to the identified user. The techniques described herein further configure a graphical user interface layout, in which the transcript can be displayed. The graphical user interface layout enables users to better understand the context of a conversation that takes place during a meeting.

Claim (Index 7):
The system of  claim 1 , wherein the computer-executable instructions further cause the one or more processing units to:\n access a list of invitees to the meeting to determine an identity of the individual user; and use the identity of the individual user to access the voice recognition profile so that the voice recognition profile can be used during the meeting.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 94.0
- Lexical Diversity: 2.01449
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11203671', '15202039', '15332766', '13743838', '15707282']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3093548461253622
- 35 USC 102 Novelty (BERT): 0.4912985976677791
- Combined Prediction Score: 0.3275492212796039
- Mean Citation Score: 233.127268
- Max Citation Score: 238.89427
- Similarity Product: 181.1899361225605

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test