发明名称 ANNOTATING TEXT USING EMOTIVE CONTENT AND MACHINE LEARNING
摘要 A natural language text is received from a user. The natural language text includes typing characteristics metadata. An emotive content of the natural language text is determined using a machine learning model. The natural language text is modified based on the emotive content.
申请公布号 US2017109651(A1) 申请公布日期 2017.04.20
申请号 US201514887501 申请日期 2015.10.20
申请人 International Business Machines Corporation 发明人 Bruno Nicholas V.;Hang Chung-Wei;Markandaiah Nisarga;Smythe Jared M.D.
分类号 G06N99/00;G06F17/27;G06F3/0484;G06F17/24 主分类号 G06N99/00
代理机构 代理人
主权项 1. A method for annotating natural language text based on an emotive content of the natural language text, the method comprising the steps of: receiving, by one or more computer processors, a natural language text from a user, wherein the natural language text includes typing characteristics metadata, and wherein the typing characteristics metadata includes all of the following: a key press duration; a duration between key presses in the natural language text; a capitalization of the natural language text; a frequency of the capitalization of the natural language text; a frequency of spelling errors in the natural language text; an average word length in the natural language text; and previously deleted natural language text; determining, by one or more computer processors, an emotive content of the natural language text using a machine learning model; and determining, by one or more computer processors, an annotation to the natural language text based on the emotive content, wherein the annotation includes all of the following: an emoticon; a picture; an audio; a video; and a text that describes the emotive content.
地址 Armonk NY US