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Mian language emotion analysis method and device based on transfer learning

A sentiment analysis and transfer learning technology, applied in the creation of semantic tools, text database clustering/classification, special data processing applications, etc., can solve the scarcity of Burmese sentiment tagging data, poor Burmese sentiment classification effect, poor model effect, etc. problem, to achieve the effect of solving poor performance and effective sentiment analysis

Inactive Publication Date: 2019-10-15
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

[0003] The present invention provides a Burmese emotion analysis method and device based on migration learning, which is used to solve the problems of scarcity of Burmese emotion labeling data, small-scale training data, poor effect of Burmese emotion classification, etc., and solve the model effect of relying on label data training bad question

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  • Mian language emotion analysis method and device based on transfer learning
  • Mian language emotion analysis method and device based on transfer learning
  • Mian language emotion analysis method and device based on transfer learning

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Embodiment 1

[0038] Embodiment 1: Burmese emotion analysis method based on migration learning, image 3 A flow chart of the Burmese sentiment analysis method based on transfer learning is provided. The method includes the following steps: Step A: firstly, the method performs cross-lingual word embeddings representation on Burmese vocabulary, and realizes the mapping from Burmese text to English text semantic space; Step B: network pre-training English based on CNN and attention mechanism Sentiment classification model; Step C: Learn cross-language emotional features by sharing the neural network layer parameters of the English sentiment analysis model, and transfer to the Burmese sentiment classification model to realize Burmese sentiment classification: Step D: Use the marked Burmese language The data is used for model tuning, and finally realizes Burmese sentiment classification.

[0039] In step A, the words in the Burmese sentence are converted into Burmese word vectors, and the Burme...

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Abstract

The invention relates to a Mian language emotion analysis method and a device based on transfer learning, and belongs to the technical field of natural language processing. The method comprises the following steps: firstly, carrying out cross-language words representation on Burmese vocabularies to realize mapping from a Burmese text to an English text semantic space; pre-training an English emotion classification model based on a CNN and attention mechanism network; learning cross-language emotion features by sharing neural network layer parameters of the English emotion classification model,and migrating the cross-language emotion features into the Mian language emotion classification model to realize Mian language emotion classification; and carrying out model optimizing by using marked Mian language data to finally realize Mian language emotion classification. According to the Mian language emotion analysis device based on transfer learning, effective emotion analysis is achievedon Mian language sentences, and the problem of poor performance caused by lack of Mian language emotion mark data, is solved.

Description

technical field [0001] The invention relates to a Burmese emotion analysis method and device based on transfer learning, and belongs to the technical field of natural language processing. Background technique [0002] Using resource-rich language to implement low-resource language sentiment classification is a current research hotspot in natural language processing. The deep neural network has achieved good results in the emotion classification of English. The main reason is that there are a large number of emotional tagging corpora in English. However, for Burmese, where resources are scarce, the tagged data is scarce. Through the collection of corpus and manual tagging, Only small-scale Burmese tagged data sets can be obtained, and the training data is too small, which will inevitably affect the effect of Burmese sentiment classification. Using the tagged data in the English corpus with rich emotional tags to assist in identifying the emotional polarity of Burmese can eff...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F16/35G06F16/36G06F17/27
CPCG06F16/3344G06F16/35G06F16/374G06F40/30
Inventor 毛存礼吴霞余正涛林颂凯高盛祥王振晗
Owner KUNMING UNIV OF SCI & TECH
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