Intuit has been granted a patent for a method involving a sentence transformer model that detects and processes input sentences in electronic communications to suggest modifications based on readability metrics and acceptability criteria. The modified communication is then stored for future reference. GlobalData’s report on Intuit gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Intuit, Dynamic premium pricing was a key innovation area identified from patents. Intuit's grant share as of January 2024 was 60%. Grant share is based on the ratio of number of grants to total number of patents.
Method for suggesting and modifying sentences in electronic communications
A recently granted patent (Publication Number: US11886800B1) outlines a method and system for enhancing written electronic communications through the use of advanced natural language processing techniques. The method involves detecting a first input sentence that meets a readability metric threshold, processing it through a sentence transformer model, evaluating the suggested set of sentences based on acceptability criteria, and modifying the communication accordingly. The system includes a data repository, computer processor, and graphical user interface to facilitate this process, ensuring that the modified communication meets the desired criteria before transmission to the recipient.
Furthermore, the patent details additional features such as evaluating suggested sentences based on similarity metrics, bias term analysis, and grammar scores to ensure the quality and coherence of the modified communication. The system also includes a readability metric alert window to notify users of any issues with the input sentences. By automating the process of enhancing written electronic communications, this patented method and system aim to improve the overall quality and readability of messages sent electronically, providing users with a more efficient and effective means of communication in various contexts.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
