PATENT CLAIM ANALYSIS

Application Number: 15970262
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-07
Patent Classification: ["725", "097000"]

Abstract:
An electronic apparatus is provided. The electronic apparatus includes a memory configured to store content schedule information for each content provider, a transceiver and a processor configured to receive content identification information from an external apparatus and time information regarding a time when the content identification information is obtained through the transceiver, identify a content provider corresponding to the content identification information based on the content identification information, the time information and the content schedule information, obtain content schedule information corresponding to the identified content provider from the memory and provide the content schedule information to the external apparatus.

Claim (Index 7):
The apparatus as claimed in  claim 1 , wherein the processor is further configured to:\n based on identification information of a content provider matching identification information of the external apparatus not being stored in the memory, request the external apparatus for the content identification information and time information regarding a time based on the content identification information being obtained.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 93.0
- Lexical Diversity: 2.56098
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14724332', '14452092', '13215655', '13331058', '15616093']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4483076077903893
- 35 USC 102 Novelty (BERT): 0.4825870282161102
- Combined Prediction Score: 0.4517355498329615
- Mean Citation Score: 149.73703999999995
- Max Citation Score: 153.52177
- Similarity Product: 102.56430740981222

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

Dataset: test