Similar Word Replacement Method for Improving News Commenter Analysis
In Korea, it is common to read and comment on news stories on portal sites. To influence public opinion, some people write comments repeatedly, some of which are similar to those posted by others. This has become a serious social issue. In our previous research, we collected approximately 2.68 milli...
Main Authors: | Deun Lee, Sunoh Choi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/13/6803 |
Similar Items
-
Internet News User Analysis Using Deep Learning and Similarity Comparison
by: Sunoh Choi
Published: (2022-02-01) -
Indonesian Online News Topics Classification using Word2Vec and K-Nearest Neighbor
by: Nur Ghaniaviyanto Ramadhan
Published: (2021-12-01) -
Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding
by: Talha Bin Sarwar, et al.
Published: (2022-07-01) -
Fake News Classification Based on Content Level Features
by: Chun-Ming Lai, et al.
Published: (2022-01-01) -
WTL-CNN: a news text classification method of convolutional neural network based on weighted word embedding
by: Weidong Zhao, et al.
Published: (2022-12-01)