PATENT CLAIM ANALYSIS

Application Number: 15907033
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["707", "802000"]

Abstract:
A method, system and computer program product for checking documents using colloquialisms. Colloquialisms used in messages by users in a social network are tracked. The relationships (e.g., co-worker) between the senders and recipients of these messages are identified. A social graph is then generated to depict the relations between the users in the social network based on these identified relationships. Furthermore, usage patterns of colloquialisms (e.g., a particular colloquialism is used only with close friends as opposed to co-workers) are formulated. A rule set is generated using the social graph and formulated usage patterns. By using the rule set to check documents, documents may be more accurately checked for spelling and/or grammatical errors by taking into consideration the appropriate usage of colloquialisms based on the context (e.g., communicating with a friend). Furthermore, alternative words or phrases may be appropriately recommended based on the context using such a rule set.

Claim (Index 1):
A method for checking documents using colloquialisms, the method comprising:\n tracking colloquialisms used in messages by users in a social network, wherein said colloquialisms are words or phrases used in informal online communications, wherein said colloquialisms comprise words or phrases that vary from region to region; identifying relationships between senders and recipients of said messages using said colloquialisms; generating a social graph to depict relations between said users in said social network based on said identified relationships; formulating usage patterns of said colloquialisms among said users of said social graph; generating a rule set based on said social graph; and reviewing a document for spelling and/or grammatical errors and/or for making contextual relevant recommendations using said generated rule set.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 88.0
- Lexical Diversity: 1.95402
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15667460', '14024817', '14306740', '15489414', '14607887']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2136188736071552
- 35 USC 102 Novelty (BERT): 0.4952754291157292
- Combined Prediction Score: 0.2417845291580126
- Mean Citation Score: 229.825506
- Max Citation Score: 297.7947
- Similarity Product: 279.03813542863725

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