Text topic mining method based on word semantic weight of Internet service

An Internet, word technology, applied in semantic analysis, natural language data processing, instruments, etc., can solve the problems of weak distinction between key words, NMF model cannot be Mashup modeling, service description text is short, etc., to alleviate the problem of sparsity. Effect
CN112836489APending Publication Date: 2021-05-25ZHEJIANG UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
ZHEJIANG UNIV OF TECH
Publication Date
2021-05-25

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Abstract

A text topic mining method based on word semantic weight of Internet service comprises the following steps: 1, performing part-of-speech tagging on words in a Mashup service description document by using a natural language toolkit in Python; 2, counting word frequency information, and calculating TF-IDF information; 3, extracting Mashup service label information wherein the semantic weight of each word in the Mashup service description document is recalculated on the basis of the noun set Nset and the TF-IDF value; and 4, solving Mashup theme features through an NMF model. On the basis of TF-IDF, in combination with service label information and context word information, weights of words are recalculated, and weight values of key words are increased, so that Mashup service modeling and service document theme confirmation are effectively performed.
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Description

technical field

[0001] The invention relates to a text topic mining method based on the semantic weight of Internet service words Background technique

[0002] Driven by the development of cloud computing and the idea of ​​"service-oriented" service computing, more and more companies publish data, resources or related businesses to the Internet in the form of Web services, in order to improve the utilization rate of information and their own competitiveness. . However, traditional SOAP-based Web services have problems such as complex technical systems and poor scalability, making it difficult to adapt to complex and changeable application scenarios in real life. In order to overcome the problems caused by traditional services, in recent years, a lightweight information service combination mode has emerged on the Internet - Mashup technology, which can mix and match a variety of different Web APIs and develop a variety of new Web services to alleviate It is difficult for tr...

Claims

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