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 16):
The computer-implemented method of  claim 15 , wherein\n for each hashtag that has not been stored, the method further comprises storing the hashtag and setting a count for the hashtag to  1 , by the computing system, and for each hashtag that has been stored, the method further comprises incrementing the count for the hashtag, 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): 0.241700657685373
- 35 USC 102 Novelty (BERT): 0.4688550280004521
- Combined Prediction Score: 0.264416094716881
- Mean Citation Score: 160.893904
- Max Citation Score: 169.76009
- Similarity Product: 127.69356119776724

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