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 18):
A computer-implemented method, comprising:\n fetching, by a computing system, social media communications that tag or mention one or more social media assets, wherein a social media asset for a brand or an individual is an account associated with one or more social media communication systems; for each fetched social media communication that tags or mentions the one or more social media assets:\n checking whether the social media communication has any soft-engagement activity from a brand associated with the one or more social media assets, by the computing system, and \n when the status is not indicative of noise, dropping the social media communication, by the computing system; and \n otherwise:\n checking whether the brand associated with the one or more social media assets has responded to the social media communication, by the computing system, and \n when the brand has not responded, dropping the social media communication, by the computing system.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 90.0
- Lexical Diversity: 1.63158
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13913173', '13594842', '14020674', '14040565', '13587928']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2181628950169578
- 35 USC 102 Novelty (BERT): 0.4800234720531664
- Combined Prediction Score: 0.2443489527205787
- Mean Citation Score: 160.893904
- Max Citation Score: 169.76009
- Similarity Product: 113.10543080976366

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