PATENT CLAIM ANALYSIS

Application Number: 16125382
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["705", "007190"]

Abstract:
A computer-implemented method comprises, obtaining a digital calendar item for an event, determining, that the event has begun, and in response to determining that the event has begun, accessing a location and determining which of the participants are present for the event, determining, during the event, that one participant shared a digital data item with the other participants or as part of the event, and in response to determining that the participant shared the digital data item, at least transiently storing a reference or link to the digital data item, determining that the event has ended, and in response to determining that the event has ended, updating the digital calendar item by adding the reference or link.

Claim (Index 4):
The method of  claim 1 , wherein the location comprises a video conference or an audio conference, the method further comprising:\n storing a media data object comprising one or more of video data or audio data of the event; in response to the event concluding, causing transcribing the media data object to generate a transcript; updating the digital calendar item to add one or more network computer references respectively to one or more of the media data object or the transcript.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.62
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14227292', '14107108', '15138089', '15683690', '12726255']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0909748908046256
- 35 USC 102 Novelty (BERT): 0.4959195172519459
- Combined Prediction Score: 0.1314693534493576
- Mean Citation Score: 195.30913
- Max Citation Score: 212.7648
- Similarity Product: 148.43012841567997

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

Dataset: test