PATENT CLAIM ANALYSIS

Application Number: 16115853
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["715", "257000"]

Abstract:
Non-limiting examples of the present disclosure describe processing that improves suggestions for a misspelt word. Examples described herein relate to processing executed by a client device or computing devices connected via a distributed network. In one example, an electronic document that comprises a misspelt word is accessed. An order of word suggestions for the misspelt word is determined based on an application of an exemplary word order suggestion model that analyzes the misspelt word based on: an analysis of an unformatted state of content within the electronic document and an analysis of formatting associated with content of the electronic document. Further aspects of an electronic document including file metadata may be analyzed by the word order suggestion model. A listing of suggestions for the misspelt word is provided, where an order of word suggestions included in the listing is determined based on the application of the word order suggestion model.

Claim (Index 11):
The system of  claim 10 , wherein the application of the word order suggestion model further analyzes the unintended word based on an analysis of file metadata associated with the electronic document.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 96.0
- Lexical Diversity: 2.09211
- Patent Class: 715.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15380840', '15934543', '13567305', '15618439', '13270927']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2816478600534838
- 35 USC 102 Novelty (BERT): 0.5464884607497456
- Combined Prediction Score: 0.30813192012311
- Mean Citation Score: 197.794914
- Max Citation Score: 399.04498
- Similarity Product: 310.3310520712984

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

Dataset: test