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Text Content or SSML code:

Text editor acts as the program for human to interact with computer plain texts has been widely used among various smart devices. It empowers users to work with the computer file system, for instance, to open, write and save a document. With the development of the natural language processing, text summarization and key phrase extraction provide significant support to our text-relevant behavior. Hence, utilizing NLP techniques in text editors, for example, Notepad, might expand some intelligent features. When a user save an untitled file, most text editors are likely to wait for users to name the document. This project makes it possible to propose a draft title with respect to the text content. Users can adjust the title name further based on the proposed draft title. The general workflow goes as follow. Firstly, the saved contents are passed to a summarization model for obtaining abstract summary. The model learned from a large amount of open-source URLs to get the ability of content summarization.