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 1):
A non-transitory computer readable medium comprising executable instructions, the instructions being executable by a data processing device to perform a method, the method comprising:\n receiving text from a plurality of documents; for each document of the plurality of documents:\n segmenting the received text of the particular document of the plurality of documents to create a set of segments; \n for each of at least a subset of the set of segments:\n calculating a document frequency statistic indicating a frequency of a particular segment of the at least a subset of the segments within the particular document of the plurality of documents; \n comparing the document frequency statistic indicating the frequency of the particular segment within the particular document to a frequency threshold; \n determining if the particular segment is a segment of potential interest based on the comparison of the document frequency statistic of the particular segment to the frequency threshold; and \n calculating a distance between the particular document of the plurality of documents and each of the other documents of the plurality of documents using a text metric; \n \n receiving a search query and performing a search on the received text of the plurality of documents to generate search results, the search results including at least a subset of documents of the plurality of documents; dividing the at least the subset of the documents of the plurality of documents of the search results between a first set and a guide set; for each of the documents of the first set, determining a closest document of the guide set using the distances for that particular document to create partitions of documents; for each partition of documents:\n retrieving the document frequency statistics of each segment of potential interest of each document in the particular partition of documents; \n selecting a predetermined number of segments of potential interest of the documents in the particular partition of documents based on a highest frequency statistic of the retrieved document frequency statistics; and \n determining identifying information associated with at least some content of the predetermined number of segments of potential interest of the documents in the particular partition of documents; and \n providing the identified content of at least one partition for display.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 88.0
- Lexical Diversity: 2.7193
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14481546', '14533058', '11114971', '14422150', '12623276']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1759262424515724
- 35 USC 102 Novelty (BERT): 0.5920464995243363
- Combined Prediction Score: 0.2175382681588488
- Mean Citation Score: 275.401162
- Max Citation Score: 519.37573
- Similarity Product: 441.7619903929697

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