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Method and device for sentiment classification of Uyghur texts
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A sentiment classification, language text technology, applied in text database clustering/classification, unstructured text data retrieval, special data processing applications, etc., can solve the problems of low processing efficiency, long processing time, etc. The effect of saving manpower and reducing the size of the corpus
Active Publication Date: 2020-04-24
国网新疆电力有限公司信息通信公司 +1
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[0006] Embodiments of the present invention provide a method and device for sentiment classification of Uyghur texts, to at least solve the problem that the sentiment classification method of Uyghur texts in the prior art needs to manually label a large number of Uyghur texts, and the processing time is long and difficult. inefficient technical issues
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Embodiment 1
[0028] According to an embodiment of the present invention, an embodiment of a method for sentiment classification of Uighur text is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions , and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.
[0029] figure 1 It is a flow chart of a method for sentiment classification of Uighur texts according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:
[0030] Step S102, acquiring a plurality of Uighur texts.
[0031] Specifically, the above-mentioned Uighur text may be a corpus that has not been manually annotated.
[0032] In an optional solution, Uyghur language information published by Uyghur people can be obtained from...
Embodiment 2
[0091] According to an embodiment of the present invention, an embodiment of an apparatus for sentiment classification of Uighur text is provided.
[0092] Figure 4 is a schematic diagram of an emotion classification device for a Uighur text according to an embodiment of the present invention, such as Figure 4 As shown, the device includes:
[0093] An acquisition module 41, configured to acquire a plurality of Uighur texts.
[0094] Specifically, the above-mentioned Uighur text may be a corpus that has not been manually annotated.
[0095] In an optional solution, Uyghur language information published by Uyghur people can be obtained from the Internet. For example, Uyghur texts can be obtained from Weibo published by Uyghur people. is the prediction without manual labeling.
[0096] Divide module 43, be used for splitting a plurality of Uighur language texts, obtain first text set and second text set, wherein, the first text set includes: the Uyghur language text of the...
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Abstract
The invention discloses a method and device for sentiment classification of Uygur language text. The method comprises the steps of obtaining a plurality of pieces of Uygur language text; splitting the plurality of pieces of Uygur language text, and obtaining a first text set and a second text set, wherein the first text set comprises a first number of pieces of Uygur language text, the second text set comprises a second number of pieces of Uygur language text, and the first number is smaller than the second number; based on the first text set and corresponding annotation information, and generating a sentiment classifier; and utilizing the sentiment classifier to perform sentiment classification on the second text set, and obtaining a sentiment classification result. According to the method and device for sentiment classification of Uygur language text, technical problems that in a Uygur language text sentiment classification method in the prior art, sentiment classification needs to be performed on plenty of Uygur language text in a manual mode, processing time is long, and processing efficiency is low.
Description
technical field [0001] The invention relates to the field of minority language network public opinion analysis, in particular to a method and device for sentiment classification of Uighur texts. Background technique [0002] With the rapid development of the Internet, netizens all over the world will always obtain or publish information on the Internet, so texts with subjective colors are widely spread on the Internet. This kind of text with public subjective views will have a great impact on Internet public opinion and social public opinion. If we can conduct in-depth research on this, it will be very meaningful. [0003] The ethnic minorities in our country present a distribution state of large mixed populations and small clusters, and multiple ethnic groups have their own languages. In order to better understand the aspirations of ethnic minorities, the study of ethnic minority languages will play a major role in ethnic unity and social disputes. However, because many ...
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