首页|'Using Machine Learning To Generate Segments From Unstructured Text And Identify Sentiments For Each Segment' in Patent Application Approval Process (USPTO 2024 0403565)
'Using Machine Learning To Generate Segments From Unstructured Text And Identify Sentiments For Each Segment' in Patent Application Approval Process (USPTO 2024 0403565)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
This patent application has not been assigned to a company or institution.The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Recent years have seen significant improvements in parsing text into segments of relatedideas. For example, conventional syste ms are rule-based, naive methods that parse text according tocustomary grammar and syntax rules. To illustrate, conventional systems are trained using text cla ssifiedas “gold standard,” and comprised of text from clean and structured form ats, such as newspaper articles,Wikipedia entries, or other professional medium . Accordingly conventional systems rely on predictablefeatures of the text and certain grammatical structures to guide where to parse out unstructured text.
NETL
NSTL
