Opinion mining method based on ensemble learning

A technology of opinion mining and ensemble learning, applied in the database field, can solve problems such as inability to achieve optimal results, achieve superior forecasting effect, good parallelism, and improve forecasting performance.

Active Publication Date: 2013-10-23
EAST CHINA NORMAL UNIV
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Problems solved by technology

[0004] The present invention overcomes the defect that the prior art cannot achieve optimal results in all analysis fields, and proposes an opinion mining method based on ensemble learning

Method used

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  • Opinion mining method based on ensemble learning
  • Opinion mining method based on ensemble learning
  • Opinion mining method based on ensemble learning

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Embodiment Construction

[0025] The present invention will be further described in detail in conjunction with the following specific embodiments and accompanying drawings. The process, conditions, experimental methods, etc. for implementing the present invention, except for the content specifically mentioned below, are common knowledge and common knowledge in this field, and the present invention has no special limitation content.

[0026] The opinion mining method based on ensemble learning of the present invention has its own characteristics and applicability when each classifier predicts different analysis fields, and makes full use of the diversity of prediction results to complement each other, so as to further improve the accuracy of user opinion recognition Effect. The opinion mining method based on ensemble learning of the present invention can effectively solve the difficulty in selecting the optimal classification model when users face different analysis fields, and can achieve higher predic...

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Abstract

The invention discloses an opinion mining method based on ensemble learning, which comprises the following steps: selecting a group of element classifier group according to the trained element classifier, and integrating the prediction results of the element classifier group into a sample of a trained ensemble classifier, thereby obtaining the ensemble classifier, and predicting the sample through the ensemble learning of the ensemble classifier. The method selects an optimum element classifier group to carry out a first prediction to the opinion, carries out a secondary study and prediction on the ensemble classifier trained by the prediction results, and generates the final opinion mining result. The classifying results are complementary in diversity; the classifying effect of the method is better than the best single classifier; the generalization ability of the whole classifying model is enhanced, so that the accuracy of the opinion mining is further improved.

Description

technical field [0001] The invention relates to the technical field of database and the technical field of information retrieval, and specifically designs an opinion mining method based on integrated learning. Background technique [0002] With the popularization and development of Web2.0 technology, more and more users publish content on various social network platforms to describe, share and spread what is happening around them. User Generated Content (UGC), which is rich in user opinions, gradually occupies a dominant position in network data, and automatic recognition of user opinions is of great value to many practical applications, such as network public opinion analysis and monitoring, business / Government intelligence system, recommendation system, etc. [0003] Opinion mining is also called opinion analysis and sentiment classification, and its main goal is to identify the overall emotional tendency of users towards the target object. At present, the technology in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 林煜明王晓玲周傲英
Owner EAST CHINA NORMAL UNIV
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