PATENT CLAIM ANALYSIS

Application Number: 16401508
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["359", "322000"]

Abstract:
A method of manufacturing an electrophoretic particle is a method of manufacturing an electrophoretic particle including a particle and a particle surface treatment agent which is bonded to the particle, the method including preparing a mixture containing a plurality of the particles, the particle surface treatment agent, an unreacted product of a raw material used at the time of generating the particle surface treatment agent, and a reaction by-product generated at the time of generating the particle surface treatment agent, the mixture having a content of the particle surface treatment agent which is set to be equal to or greater than 70% by weight in the mixture except for the plurality of particles; and bonding the particle surface treatment agent to a surface of the particle in the mixture.

Claim (Index 16):
The electrophoretic particle according to  claim 12 , wherein the pigment particle comprises a material selected from the group consisting of aniline black, carbon black, titanium black, titanium dioxide, antimony trioxide, barium sulfate, zinc sulfide, zinc oxide, and silicon dioxide, an azo-based pigment, isoindolinone, chrome yellow, yellow iron oxide, cadmium yellow, titanium yellow, antimony, quinacridone red, chrome vermilion, phthalocyanine blue, indanthrene blue, Prussian blue, ultramarine blue, cobalt blue, phthalocyanine green, an acrylic resin, a urethane resin, a urea resin, an epoxy resin, polystyrene, and polyester.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 100.0
- Lexical Diversity: 2.58491
- Patent Class: 359.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15365796', '15185747', '15255890', '16143022', '14930745']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8478531297964842
- 35 USC 102 Novelty (BERT): 0.5033988909862455
- Combined Prediction Score: 0.8134077059154603
- Mean Citation Score: 253.53563
- Max Citation Score: 304.82303
- Similarity Product: 208.90664840976297

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