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Text sentiment analysis method

A sentiment analysis and text technology, applied in the field of text analysis, which can solve the problems such as the distance between sentiment words and target words, the lack of emotional tendencies, and the difficulty in expressing the meaning of sentences accurately and efficiently.

Active Publication Date: 2021-12-07
SOUTH CHINA NORMAL UNIVERSITY
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Problems solved by technology

However, not all the sentences we use in our daily life contain sufficient emotional information, or the emotional words are far away from the target words, making it difficult to be captured, and some sentences do not even express clear emotional tendencies, so Difficulty conveying the meaning of sentences accurately and efficiently

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Embodiment Construction

[0023] In order to make the objectives, technical solutions and advantages of the present application clearer, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

[0024] It should be clear that the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the embodiments of the present application, all other embodiments obtained by persons of ordinary skill in the art without creative work fall within the protection scope of the embodiments of the present application.

[0025] Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. In the description of this application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and are not necessari...

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Abstract

The invention provides a text sentiment analysis method, which comprises the following steps: inputting a general semantic matrix, a structural semantic matrix and a sentence initialization representation into a graph convolutional neural network, a cross network and an activation function to obtain a general semantic syntactic representation and a structural semantic syntactic representation of a sentence; calculating a target structure semantic syntactic representation and a target general semantic syntactic representation in combination with the general semantic hidden representation and the structural semantic hidden representation of the sentence, splicing the target general semantic syntactic representation and the target structure semantic syntactic representation, and shielding non-attribute words; and obtaining attribute word feature representation of each word in a sentence, then calculating attention weight of each word in the sentence according to the word embedding representation and each attribute word feature representation, and outputting sentence sentiment polarity based on the word embedding representation and the attention weight of each word. According to the text sentiment analysis method, the sentiment polarity of the sentences in the text can be efficiently and accurately analyzed.

Description

technical field [0001] The invention relates to the technical field of text analysis, in particular to a text sentiment analysis method. Background technique [0002] Fine-grained sentiment analysis (ABSA) is an important task in natural language processing. For a given (sentence, attribute word) pair, it aims to judge the attribute word according to the context information related to the specific attribute word in the sentence. emotional polarity (eg, positive, neutral, negative). With the continuous development of the Internet and big data, sentiment analysis technology that can automatically extract useful information from a large number of texts has not only attracted the attention of many academic circles, but has also been widely used in daily business activities, especially in social media. , e-commerce and social public opinion analysis and other fields. [0003] In the existing fine-grained sentiment analysis process, the main goal is to accurately find sentiment ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/30G06F40/284G06N3/04G06N3/08
CPCG06F40/30G06F40/284G06N3/08G06N3/044G06N3/045
Inventor 代安安薛云陈锦鹏
Owner SOUTH CHINA NORMAL UNIVERSITY
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