PATENT CLAIM ANALYSIS

Application Number: 15942297
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-12
Patent Classification: ["704", "009000"]

Abstract:
The present disclosure discloses an artificial intelligence based method and apparatus for constructing a comment graph. A specific embodiment of the method comprises: determining a comment text based on comment data on a network page; identifying a comment subject and a comment opinion in the comment text, based on a characteristic in the comment text; generating a subject opinion pair including the comment subject, the comment opinion and an emotional tendency based on the comment subject and the comment opinion; generating a comment label associated with the subject opinion pair based on news information; and generating a comment graph, based on the comment label and the subject opinion pair. This embodiment improves the pertinence and the accuracy of the comment and the control to the comment emotion, when providing comments externally.

Claim (Index 4):
The method according to  claim 3 , wherein the determining a news label based on the news information comprises:\n determining a weight of words using a weight model, based on a predetermined characteristic of the words in the news information; and determining the news label, based on the weight of the words and a characteristic commonly occurring between the words.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 90.0
- Lexical Diversity: 2.46552
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15854918', '15896953', '14942947', '14942967', '15055772']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2798015361802382
- 35 USC 102 Novelty (BERT): 0.5067121777627184
- Combined Prediction Score: 0.3024926003384862
- Mean Citation Score: 190.41943
- Max Citation Score: 250.08133
- Similarity Product: 161.1086153411269

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

Dataset: test