Textual Information Classification of Campus Network Public Opinion Based on BILSTM and ARIMA
To address the problem that it is difficult for traditional opinion analysis models to accurately analyze textual information of campus online public opinion in various formats, a deep learning-based online opinion analysis method is proposed by combining BILSTM and ARIMA models. By using BILSTM sen...
Main Author: | Wang, W. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
A Survey of Key Technology of Network Public Opinion Analysis
by: Li Su Ying
Published: (2016-01-01) -
Sentiment classification of skewed shoppers' reviews using machine learning techniques, examining the textual features
by: Mahdi Rezapour
Published: (2021-01-01) -
TOWARD DEVELOPING A MINING OPINION MODEL: CONCEPTUAL FRAMEWORK
by: Rawia Tahrir, et al.
Published: (2018-01-01) -
OPINION MINING AND SENTIMENT CLASSIFICATION: A SURVEY
by: S. ChandraKala, et al.
Published: (2012-10-01) -
Opinion Mining on Social Media Data: Sentiment Analysis of User Preferences
by: Vasile-Daniel Păvăloaia, et al.
Published: (2019-08-01)