PATENT CLAIM ANALYSIS

Application Number: 16214093
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["709", "206000"]

Abstract:
A set of similar messages addressed to a user is detected. Redundantly similar portions of the set of similar messages and a progressive set of differences between the set of similar messages are identified. The set of similar messages are consolidated into a single consolidated message. The single consolidated message includes one version of the redundantly similar portions in association with the progressive set of differences in a sequence and the progressive set of differences formatted differently from the redundant similar portions.

Claim (Index 1):
A method, comprising:\n detecting, by a processor, a set of similar messages addressed to a user; identifying redundantly similar portions of the set of similar messages that provide contextual details related to a progressive set of differences between the set of similar messages; and consolidating the set of similar messages into a single consolidated message comprising the redundantly similar portions preserved in association with sequential entries of the progressive set of differences in a sequence as context usable for interpretation of the progressive set of differences, and with the progressive set of differences formatted differently from formatting applied to the redundantly similar portions within the single consolidated message.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 98.0
- Lexical Diversity: 2.26316
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15185265', '15853183', '14567964', '12634795', '11868590']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2592092288598824
- 35 USC 102 Novelty (BERT): 0.5237979912652767
- Combined Prediction Score: 0.2856681051004219
- Mean Citation Score: 219.4132072
- Max Citation Score: 360.06042
- Similarity Product: 351.4794088148582

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