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 27):
A method, performed by a computing system, of searching a corpus of texts relating to a domain of knowledge, the method comprising:\n populating a word-pair feature data structure with word-pair proximity scores, wherein the populating comprises, by the computer:\n determining a multiplicity of word-pair proximity scores measuring associations between pairs of words that appear in the corpus of texts, wherein the determining comprises, for each given text of the corpus of texts:\n parsing the given text to identify a text vector; \n selecting, within the text vector, a word pair including a first word and a second word; \n determining a measure of intra-clause proximity based at least in part on the first word's relationship to the second word within the text vector; and \n updating a word-pair-score data structure corresponding to the first word and the second word with the determined measure of intra-clause proximity; and \n \n populating an entry for each word pair in the word-pair feature data structure with the corresponding word-pair-score data structure containing the determined measure of intra-clause proximity; \n obtaining, for at least one word pair in the word-pair feature data structure, attribute data related to the word pair; and updating the entry for the word pair in the word-pair feature data structure with the attribute data related to the word pair.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 1.80247
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14216059', '11012089', '10371399', '12401421', '10612732']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1742203126385102
- 35 USC 102 Novelty (BERT): 0.5443021967754912
- Combined Prediction Score: 0.2112285010522083
- Mean Citation Score: 210.964128
- Max Citation Score: 392.4957
- Similarity Product: 338.35950275577306

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

Dataset: test