PATENT CLAIM ANALYSIS

Application Number: 15896030
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["707", "750000"]

Abstract:
An example method includes receiving text from a plurality of documents, segmenting text received text of the plurality of documents, calculating a frequency statistic for each segment of each document, determining segments of potential interest of each document based on calculated frequency statistic, calculating distances between each document of the plurality of documents based on a text metric, and storing segments of potential interest of each document and the distances in a search database. The method may further include receiving a search query and performing a search of information contained in the search database, partitioning documents of search results using the distances, for each partition, determining labels of segments of potential interest for documents of that particular partition, the labels being determined based on a plurality of frequency statistics, and providing determined labels of segments of potential interest for documents of each partition.

Claim (Index 5):
The non-transitory computer readable medium of  claim 1 , wherein calculating the document frequency statistic utilizes a log likelihood function, wherein calculating the document frequency statistics comprises:\n determining an expected segment score based on a total number of times the particular segment is within the plurality of documents relative to a total number of segments in the plurality of documents; determining an observed score based on a total number of times the particular segment is within the particular document of the plurality of documents; and generating a log likelihood function score based on the observed score relative to the expected score.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 88.0
- Lexical Diversity: 2.7193
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14481546', '14533058', '11114971', '14422150', '12623276']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1910440470735345
- 35 USC 102 Novelty (BERT): 0.6047548369317396
- Combined Prediction Score: 0.232415126059355
- Mean Citation Score: 275.401162
- Max Citation Score: 519.37573
- Similarity Product: 491.28243713983534

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