PATENT CLAIM ANALYSIS

Application Number: 16337929
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["704", "009000"]

Abstract:
An intention acquisition method, an electronic device and a computer-readable computer storage are provided. The method includes: segmenting a text sentence into multiple words; mapping the multiple words obtained by segmentation to preset keywords; determining an intention node most semantically approximate to the mapped words in a preset knowledge graph; performing semantic supplementing on the most approximate intention node according to a preset supplementing manner to obtain a supplemented intention node; if the supplemented intention node is an egress node, acquiring detailed intention information associated with the supplemented intention node in a specified range in a detailed intention layer of the knowledge graph according to intention information corresponding to the supplemented intention node, and determining an intention of a user according to the acquired detailed intention information; and if the supplemented intention node is a non-egress node, determining the intention of the user according to a preset query mode.

Claim (Index 21):
A computer-readable storage medium, storing an intention acquisition system, the intention acquisition system being executed by at least one processor to implement all steps of the intention acquisition method of  claim 9 .

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 2.33333
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['09852317', '14881900', '11544200', '15076654', '11996484']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2777050002242514
- 35 USC 102 Novelty (BERT): 0.4934491695180469
- Combined Prediction Score: 0.2992794171536309
- Mean Citation Score: 146.28535
- Max Citation Score: 150.86213999999995
- Similarity Product: 89.03185822088597

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