Extraction Algorithm of Opinion Information Based on Double Embedding CMLA

With the popularity and development of the Internet, people have recorded a large number of comment texts on government service hotlines, social media and other network platforms to express their opinions. For the task of viewpoint information extraction, this paper proposes a joint viewpoint inform...

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Bibliographic Details
Published in2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI) pp. 157 - 162
Main Authors Zhang, Yueguo, Dong, Lili, Guo, Lin
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.08.2021
Subjects
attention mechanism
Classification algorithms
Conferences
Data mining
Government
Internet
neural network
opinion extraction
sentiment classification
Social networking (online)
Task analysis
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Summary:With the popularity and development of the Internet, people have recorded a large number of comment texts on government service hotlines, social media and other network platforms to express their opinions. For the task of viewpoint information extraction, this paper proposes a joint viewpoint information extraction algorithm based on dual-embedding and coupled multi-layer attention mechanism. Combining dual-embedding word representation and coupled multi-layer attention mechanism improves the extraction of aspect words and opinion words, and achieves joint extraction of their correspondence.
DOI:10.1109/ICETCI53161.2021.9563411