Sentiment analysis of natural language processing based on deep learning model

Hong Chen

doi:10.1117/12.2628487

22 April 2022 Sentiment analysis of natural language processing based on deep learning model

Hong Chen

Proceedings Volume 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021); 121741I (2022) https://doi.org/10.1117/12.2628487
Event: International Conference on Internet of Things and Machine Learning (IoTML 2021), 2021, Shanghai, China

Abstract

The word vector representation technology based on neural language model can automatically learn the effective feature representation of words from large-scale unlabeled text data sets, and has made important progress in many natural language processing tasks and research. While achieving the above classification performance improvement, the training time of EMCNN relative to MCNN is reduced by 36% in subjective and objective classification, and in emotion 7 classification A reduction of 33.82%.

Citation Download Citation

Hong Chen "Sentiment analysis of natural language processing based on deep learning model", Proc. SPIE 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021), 121741I (22 April 2022); https://doi.org/10.1117/12.2628487

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