PATENT CLAIM ANALYSIS

Application Number: 15936416
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-05
Patent Classification: ["704", "009000"]

Abstract:
An apparatus, method, and non-transitory computer readable storage medium for generating control instructions based on text are provided. The apparatus analyzes a text with at least one string to generate a text timestamp document, analyzes the at least one string to generate a plurality of pieces of emotion information, a plurality of pieces of action information, and a plurality of pieces of environment information, and decides a plurality of emotion tags and their corresponding timestamps, a plurality of action tags and their corresponding timestamps, and a plurality of environment tags and their corresponding timestamps according to a feature database. The apparatus further generates control instruction(s) and the corresponding timestamp(s) according to the emotion tags and their corresponding timestamps, the action tags and their corresponding timestamps, and the environment tags and their corresponding timestamps.

Claim (Index 20):
The non-transitory computer readable storage medium of  claim 18 , wherein each of the second control instructions, the third control instructions and the fourth control instructions comprises at least one to-be-controlled device datum and an execution instruction.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 90.0
- Lexical Diversity: 2.81481
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12508829', '15494193', '14807052', '15375634', '14336458']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2676233759148794
- 35 USC 102 Novelty (BERT): 0.4958557032467468
- Combined Prediction Score: 0.2904466086480662
- Mean Citation Score: 147.089016
- Max Citation Score: 150.28079
- Similarity Product: 86.77359252149581

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