PATENT CLAIM ANALYSIS

Application Number: 15864072
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["704", "009000"]

Abstract:
A topic based conversation retrieval system and method may include receiving a first conversation between a first plurality of users a second conversation between the first plurality of users or a second plurality of users, the second conversation being conducted on a second communication mode different than the first communication mode, analyzing the first conversation and the second conversation, determining one or more topics of discussion in the first conversation and the second conversation, and retrieving a portion of each of the first conversation and the second conversation, where the portion is related to a topic chosen to be retrieved.

Claim (Index 16):
The computer program product of  claim 15 , wherein the analyzing the first conversation and the second conversation further includes:\n generating, by the one or more processors, metadata related to user identification of the first and second plurality of users and metadata related to the one or more topics; and indexing, by the one or more processors, the metadata by one or more rules related to user identification of the first and second plurality of users and metadata related to the one or more topics.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.30435
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12144870', '15802582', '15709992', '15404932', '15481515']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2884006479562264
- 35 USC 102 Novelty (BERT): 0.4890731447979997
- Combined Prediction Score: 0.3084678976404038
- Mean Citation Score: 191.540058
- Max Citation Score: 196.90724
- Similarity Product: 134.44658414492608

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

Dataset: test