PATENT CLAIM ANALYSIS

Application Number: 15911373
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["715", "780000"]

Abstract:
Methods and systems for semantic visual communication may include in a handheld communication device including a user input mechanism, a processor, and a display: receiving textual information via said user input mechanism in the handheld communication device; analyzing the textual information using the processor and one or more algorithms; generating meta information based on the analysis; and providing semantic visual information content on the display based on the meta information for selection by a user. The user input mechanism may comprise a touchscreen display. The semantic visual information may comprise a looping visual or a static image, and may be provided from a content library stored on the handheld communication device or stored on a device wirelessly coupled to the handheld device. Selected semantic visual information may be modified based on received user input. The modifying may comprise incorporating the received textual information into the selected semantic visual information.

Claim (Index 6):
The method according to  claim 1 , comprising providing said semantic visual information from a content library stored on a device wirelessly coupled to said handheld communication device.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 90.0
- Lexical Diversity: 2.47692
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13183945', '15226789', '14493471', '15653278', '14029788']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2853879225748494
- 35 USC 102 Novelty (BERT): 0.4820217071101405
- Combined Prediction Score: 0.3050513010283786
- Mean Citation Score: 117.2051128
- Max Citation Score: 118.64255
- Similarity Product: 69.75950691484213

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

Dataset: test