PATENT CLAIM ANALYSIS

Application Number: 16125613
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["707", "724000"]

Abstract:
A corpus of texts relating to a domain of knowledge may be searched by determining word-pair proximity scores measuring associations between pairs of words that appear in the corpus and that are semantically related to the domain of knowledge. When a search term is received, the word-pair proximity scores may be used (at least in part) with dictionary overlays, user feedback, and other feature vectors as weighting mechanisms to identify one or more related words that are strongly associated with the search term within the corpus. One or more texts may be selected from the corpus, texts in which the search term and the related words appear near each other in one or more places. The selected texts may be categorized and/or clustered based on the related words before being returned for presentation as Search Results.

Claim (Index 8):
The computing apparatus of  claim 1 , wherein obtaining the attribute data associated with the word pair includes obtaining at least one of: (c) dictionary match data; (d) taxonomy data; or (e) classifier data.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 1.80247
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14216059', '11012089', '10371399', '12401421', '10612732']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1937434667742559
- 35 USC 102 Novelty (BERT): 0.5436081660713539
- Combined Prediction Score: 0.2287299367039657
- Mean Citation Score: 210.964128
- Max Citation Score: 392.4957
- Similarity Product: 264.7951471663713

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