PATENT CLAIM ANALYSIS

Application Number: 16224689
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["715", "210000"]

Abstract:
Rendering a content item of a social networking system can include dividing, using a processor, a content item into a plurality of sections, determining, using the processor, a score for each of the plurality of sections, and applying, using the processor, a visualization technique to a selected section of the content item based upon the scores of the plurality of sections.

Claim (Index 33):
A computer program product, comprising:\n a computer readable storage medium having program instructions stored therein, the program instructions, which when executed by a computer hardware system, cause the computer hardware system to perform:\n dividing a content item into a plurality of sections; \n identifying a plurality of comments for the content item; \n generating a score for each of the plurality of sections; \n matching, for each of the plurality of comments, a particular one of the plurality of comments to a particular one of the plurality of sections based upon based upon a score for the particular one of the plurality of sections, wherein \n the matching is also based upon a relatedness of the particular one of the plurality of comments to the particular one of the plurality of sections.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 98.0
- Lexical Diversity: 2.12121
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15633160', '15620790', '13842815', '14952707', '15050204']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3089917376189918
- 35 USC 102 Novelty (BERT): 0.4905531620492304
- Combined Prediction Score: 0.3271478800620157
- Mean Citation Score: 174.380246
- Max Citation Score: 290.1020000000001
- Similarity Product: 272.75679700446136

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

Dataset: test