Keyword recognition method based on machine learning
A machine learning and identification method technology, applied in machine learning, instruments, special data processing applications, etc., can solve problems such as increased algorithm time complexity, backward forming product technology, and reduced segmentation accuracy, achieving ideal segmentation accuracy. rate, ideal time complexity, the effect of improving the process of processing
Inactive Publication Date: 2017-10-20
成都布林特信息技术有限公司
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Problems solved by technology
[0002] With the gradual maturity of network technology and the Internet, the traditional single keyword method can no longer meet the current content acquisition needs of massive information. How to design a good question answering system has become an important technology that needs to be solved in network search.
From the perspective of the existing question answering system, due to the complexity of word segmentation and the limitations of semantic recognition in Chinese, the technology of formed products is relatively backward. For example, because the existing word segmentation method must first set an initial value of matching word length, If the word length is too long, the time complexity of the algorithm will increase; if the word length is too short, the accuracy of segmentation will decrease
The processing of ambiguous fields cannot meet the needs of actual users
Method used
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[0022] The following and accompanying appendices illustrating the principles of the invention Figure 1 A detailed description of one or more embodiments of the invention is provided together. The invention is described in connection with such embodiments, but the invention is not limited to any embodiment. The scope of the invention is limited only by the claims and the invention encompasses numerous alternatives, modifications and equivalents. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. These details are provided for the purpose of example and the invention may be practiced according to the claims without some or all of these specific details.
[0023] One aspect of the present invention provides a method for identifying keywords based on machine learning. figure 1 is a flow chart of a method for identifying keywords based on machine learning according to an embodiment of the ...
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The invention provides a keyword recognition method based on machine learning. The method comprises the steps of using a Hash tree dictionary to build a data search structure, and using a statistical approach to eliminate ambiguous fields appearing during a word segmentation process. According to the keyword recognition method based on machine learning provided by the invention, the ambiguous field treatment process during word segmentation is improved, and more ideal time complexity and segmentation accuracy are provided.
Description
technical field [0001] The present invention relates to natural language processing, in particular to a keyword recognition method based on machine learning. Background technique [0002] With the gradual maturity of network technology and the Internet, the traditional single keyword method can no longer meet the current content acquisition needs of massive information. How to design a question answering system has become an important technology that needs to be solved in network search. From the point of view of the existing question answering system, due to the complexity of word segmentation and the limitations of semantic recognition in Chinese, the technology of formed products is relatively backward. For example, because the existing word segmentation method must first set an initial value of matching word length, If the word length is too long, the time complexity of the algorithm will increase; if the word length is too short, the accuracy of segmentation will decrea...
Claims
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Login to View More IPC IPC(8): G06F17/30G06N99/00
CPCG06F16/9535G06N20/00
Inventor 张鹏
Owner 成都布林特信息技术有限公司