PATENT CLAIM ANALYSIS

Application Number: 16010429
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["704", "260000"]

Abstract:
An approach is provided that assists visually impaired users. The approach analyzes a document that is being utilized by the visually impaired user. The analysis derives a sensitivity of the document. A vocal characteristic corresponding to the derived sensitivity is retrieved. Text from the document is audibly read to the visually impaired user with a text to speech process that utilizes the retrieved vocal characteristic. The retrieved vocal characteristic conveys the derived sensitivity of the document to the visually impaired user.

Claim (Index 17):
The computer program product of  claim 15  wherein the document is a message intended to be sent to one or more recipients in a social networking system, the actions further comprising:\n receiving the document from the visually impaired user; \n applying one or more natural language processing (NLP) techniques to derive the sensitivity of the document; \n marking one or more areas of the document with one or more document tags that indicate the derived sensitivity of the corresponding areas; \n retrieving the vocal characteristic corresponding to the derived sensitivity and a second vocal characteristic corresponding to non-sensitive areas of the document; and \n wherein the audibly reading of the text includes reading the areas marked with the document tags with the vocal characteristics that correspond to the derived sensitivity, and reading the areas not marked with the document tags with the second vocal characteristics.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 94.0
- Lexical Diversity: 2.175
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15242756', '11350682', '10826810', '12103313', '11906884']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2661837699892741
- 35 USC 102 Novelty (BERT): 0.5157651707370677
- Combined Prediction Score: 0.2911419100640535
- Mean Citation Score: 163.43721680000004
- Max Citation Score: 333.0399
- Similarity Product: 314.15941894714217

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