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Sentiment classifying method and device

An emotion classification and emotion technology, applied in the field of data processing, can solve the problem of the accuracy to be improved, and achieve the effect of improving the accuracy

Inactive Publication Date: 2017-02-22
SHANGHAI XIAOI ROBOT TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0003] There are many emotion classification methods in the prior art, but the accuracy of these emotion classification methods needs to be improved

Method used

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  • Sentiment classifying method and device
  • Sentiment classifying method and device

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Embodiment Construction

[0039] As mentioned above, there are many emotion classification methods in the prior art, but the accuracy of these emotion classification methods needs to be improved.

[0040] The inventor’s research found that there are many existing emotion classification methods. The basis for emotion classification is to train the classifier, and the training of the classifier is based on the vector composed of the features obtained from the text conversion in the emotion data set; When classifying the sentence to be classified, the sentence to be classified must first be converted into a vector of features. Therefore, if the text can be converted more reasonably and the corresponding vector can be obtained, the accuracy of the emotion classification method can be improved.

[0041] In the embodiment of the present invention, the convolutional neural network and the bag-of-words model are used to calculate the sentiment data set to obtain the features of the convolutional neural network and ...

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Abstract

The invention discloses a sentiment classifying method and device. The method includes the steps that sentiment data are calculated through a convolutional neural network to obtain convolutional neural network features on a sentiment data set, wherein the sentiment data set includes texts labeled with tags; the sentiment data set is calculated through a word bag model to obtain word bag model features on the sentiment data set; a classifier is trained through the convolutional neural network features on the sentiment data set and the word bag model features on the sentiment data set, and the classifier obtained after training is used for carrying out sentiment classification on sentences to be classified; or at least two classifiers are trained through the convolutional neural network features on the sentiment data set and the word bag model features on the sentiment data set, and the two classifiers obtained after training are used for carrying out sentiment classification on the sentences to be classified. The method and device are higher in classification accuracy.

Description

Technical field [0001] The present invention relates to the technical field of data processing, in particular to an emotion classification method and device. Background technique [0002] Sentiment classification is also called opinion mining, which refers to automatically identifying and extracting inclined attitudes, opinions and emotions from text. Emotion classification technology is an important technology in natural language processing. Especially in the context of the increasingly developed Internet field, emotion classification technology has been widely used in many fields such as electronic products, film and television entertainment, and news. [0003] There are various emotion classification methods in the prior art, but the accuracy of these emotion classification methods needs to be improved. Summary of the invention [0004] The technical problem solved by the present invention is to improve the accuracy of the emotion classification method. [0005] In order to solve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06K9/62
CPCG06F40/284G06F18/2411
Inventor 张磊朱频频
Owner SHANGHAI XIAOI ROBOT TECH CO LTD
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