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Deep Learning Natural Language Process System for Network Public Opinion Analysis

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DOI: 10.38007/Proceedings.0001654

Author(s)

Weiwei Wang

Corresponding Author

Weiwei Wang

Abstract

Based on this method, this paper deeply researches natural language processing, based on deep learning, and applies deep learning to natural language processing in order to obtain more accurate results in analyzing the similarity of words in natural language, and combines this method to develop Deep learning natural language processing system for network public opinion analysis. This paper needs to constantly update the existing corpus in the process of processing data, so it is necessary to build a corresponding corpus data server to store real-time corpus data and complete the preliminary processing of corpus data in the database. Segmentation to get data that can be used for deep learning.

Keywords

Public Opinion Analysis, Natural Language Processing, Deep Learning, Dynamic Weighting