PATENT CLAIM ANALYSIS

Application Number: 16085032
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["345", "619000"]

Abstract:
The embodiments of the present invention provide an information-duplication system, an information duplication method, an electronic device, and a machine-readable storage medium. First, a selection region is determined according to a duplication operation of a user on the display content of an electronic device. Then, the text information corresponding to the selection region is converted into pictures. Finally, the pictures converted from the text information in the selection region are merged with the pictures in the selection region, and the picture generated after merging is then shared as a duplication content. The embodiments of the present invention can realize the simultaneous presence of text information and pictures in the duplication content.

Claim (Index 29):
The storage medium according to  claim 28 , wherein prior to determining the selection region according to the duplication operation, the method further includes:\n labeling each picture of the display content using a unique identifier; and wherein acquiring the pictures in the selection region includes:\n acquiring a storage address corresponding to a picture according to an identifier corresponding to the picture in the selection region, and acquiring the picture from the storage address.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 97.0
- Lexical Diversity: 2.15789
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15964650', '09622517', '14436266', '13070878', '15544929']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.637219691906907
- 35 USC 102 Novelty (BERT): 0.480007249533915
- Combined Prediction Score: 0.6214984476696077
- Mean Citation Score: 128.786993
- Max Citation Score: 131.46501
- Similarity Product: 85.9399143358612

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