Language text processing method and device and storage medium
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A language text and processing method technology, applied in the direction of text database query, unstructured text data retrieval, etc., can solve the problems of reducing the accuracy of emotional polarity analysis results and large differences in emotional polarity, so as to avoid deviations in prediction results, The effect of improving accuracy
Active Publication Date: 2019-01-25
TENCENT TECH (SHENZHEN) CO LTD
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[0004] Since the existing word vector conversion model mainly considers the distance between words (such as Euclidean distance, etc.) to judge the semantic similarity between them, this leads to the fact that positive and negative emotional words are too close in semantic space, for example
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[0030] In order to improve the accuracy of prediction results for emotional polarity of language texts, embodiments of the present invention provide a language text processing method, device and storage medium.
[0031] The terminal equipment among the present invention can be personal computer (English full name: Personal Computer, PC), panel computer, personal digital assistant (Personal Digital Assistant, PDA), personal communication service (English full name: Personal Communication Service, PCS) telephone, Terminal equipment such as notebooks and mobile phones can also be computers with mobile terminals, such as portable, pocket-sized, handheld, computer built-in or vehicle-mounted mobile devices, which can provide users with voice and / or data connectivity devices, and exchange language and / or data with the radio access network.
[0032] In addition, the terms "first" and "second" in the description and claims of the embodiments of the present invention and the above draw...
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Abstract
The invention discloses a language text processing method and device and a storage medium, which are used for improving the accuracy of the emotion polarity analysis result expressed by the language text. The language text processing method comprises the following steps: obtaining the language text to be processed; Word segmentation is performed on the language text to be processed to obtain a first word segmentation object, including words obtained by word segmentation and corresponding phonetic alphabet; in accordance with the result of word segmentation, utilizing a vector conversion modelto convert the first word segmentation object into a first word segmentation object vector, the vector conversion model being obtained by training the first word segmentation object contained in the first sample data according to the distance between the first word segmentation object in the first sample data and the affective polarity label of the first word segmentation object; and according tothe first word segmentation object vector, utilizing the emotion polarity prediction model to predict the corresponding emotion polarity type of the language text to be processed, the emotion polarityprediction model being obtained by using the second sample data with emotion polarity labels.
Description
technical field [0001] The invention relates to the technical field of data mining, in particular to a language text processing method, device and storage medium. Background technique [0002] With the rapid development of the Internet, the Internet has become the main means for users to disseminate and obtain various information. In the Internet world, users can use common Internet communication channels, such as forums, microblogs, blogs, post bars, etc., to share information about electronic resources on the Internet, such as games, videos, articles, news, application software, or daily social sentiments, etc. By analyzing the language and text of users’ opinions and attitudes, it is possible to determine the emotional polarity of users’ emotions, opinions, value judgments, and wishes for corresponding electronic resources, which can be used to assist in the analysis of corresponding electronic resources. resources to improve. [0003] In the prior art, the convolutiona...
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