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 20):
The computer-implemented method of  claim 19 , wherein for all users to which the brand has previously responded, the method further comprises:\n running a one-class classifier (OCC) built from the collection of actionable social media communications on noise social media communications, by the computing system; for each social media communication in a noise collection, checking whether the social media communication is predicted as an outlier by the OCC, by the computing system; when the social media communication is not predicted as an outlier by the OCC, dropping the social media communication, by the computing system; and for each social media communication that is predicted as an outlier by the OCC, adding the social media communication to a collection of noise social media communications, 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: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13913173', '13594842', '14020674', '14040565', '13587928']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2378638725235338
- 35 USC 102 Novelty (BERT): 0.4889015045017016
- Combined Prediction Score: 0.2629676357213506
- Mean Citation Score: 160.893904
- Max Citation Score: 169.76009
- Similarity Product: 105.98330911397814

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