Social network text sentiment analysis method

The invention belongs to the technical field of natural language processing, and particularly relates to a social network text sentiment analysis method which comprises the following steps: acquiring network text information, and preprocessing the text information; performing word vectorization on t...

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Bibliographic Details
Main Authors ZHANG MINGLING, FU WEI
Format Patent
LanguageChinese
English
Published 09.04.2024
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Summary:The invention belongs to the technical field of natural language processing, and particularly relates to a social network text sentiment analysis method which comprises the following steps: acquiring network text information, and preprocessing the text information; performing word vectorization on the preprocessed text data by adopting a pre-trained language model ERNIE to obtain a word vector sequence; a Bi-GRU network layer is adopted to carry out forward and backward information summarization and combination on the word vector sequence, and a final Bi-GRU model implicit vector is obtained; multiplying the implicit vector of each word by the word weight calculated through the self-attention layer to obtain a weighted final vector; inputting the weighted final vector into the trained text sentiment analysis model to obtain a sentiment classification result of the text; according to the method, an innovative method combining ERNIE and Bi-GRU neural networks is adopted, so that the effect of social network tex
Bibliography:Application Number: CN202410031259