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 12):
The computer program of  claim 11 , wherein for all users whose social media communications have not been dropped after the steps of  claim 11 , the program further configured to cause the at least one processor to:\n fetch all users for the social media communications that have not been dropped; for each user:\n check whether the brand has responded to the user during a predetermined previous time period; and \n when the brand has not previously responded to the user, drop all social media communications from the user.

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): 0.2373871264632823
- 35 USC 102 Novelty (BERT): 0.4914119385748282
- Combined Prediction Score: 0.2627896076744369
- Mean Citation Score: 160.893904
- Max Citation Score: 169.76009
- Similarity Product: 103.26861946903944

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