PATENT CLAIM ANALYSIS

Application Number: 15920723
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-07
Patent Classification: ["709", "206000"]

Abstract:
Large batches of social media communications may be automatically annotated. This provides techniques to create large labeled datasets without the assistance of human labelers. For instance, social media communications may be fetched and annotated as actionable or noise for a given account (e.g., a brand handle on Twitter®) without human review. Social media communications from users who are attempting to engage with a brand or entity on a social media platform may be annotated as actionable, whereas other communications may be labeled as noise.

Claim (Index 6):
The computer program of  claim 5 , wherein the program is further configured to cause the at least one processor to:\n check whether an ID of the root social media communication has been saved in a collection of tentatively actionable social media communications; save the root social media communication to the collection of tentatively actionable social media communications when the ID is not included therein; and when the ID has been previously saved, drop the root social media communication.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 90.0
- Lexical Diversity: 1.63158
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13913173', '13594842', '14020674', '14040565', '13587928']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2353314304653736
- 35 USC 102 Novelty (BERT): 0.5022794241082976
- Combined Prediction Score: 0.262026229829666
- Mean Citation Score: 160.893904
- Max Citation Score: 169.76009
- Similarity Product: 91.52085037005422

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

Dataset: test