Improving Emotion Classification by a Combination of Personal Texts and Social Big Data Based on Naive Bayes-Reference-Cited by-同舟云学术

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Improving Emotion Classification by a Combination of Personal Texts and Social Big Data Based on Naive Bayes

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on Information Technology in Medicine and Education (ITME)
language:
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Author:

Sekine Yusuke¹,Kasuya Seiji²,Tago Kiichi¹

Affiliation:

1. Chiba Institute of Technology,Faculty of Information and Computer Science,Narashino,Japan

2. Waseda University,Advanced Research Center for Human Sciences,Tokorozawa,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10085981/10086054/10086337.pdf?arnumber=10086337

Reference22 articles.

1. Research on text sentiment analysis based on CNNs and SVM

2. Text Classification Based on Convolutional Neural Network and Attention Model

3. Text Classification Based on Naive Bayes with Adjusted Weights via Frequency Ratio of Feature Words

4. Unsupervised Sentiment Classification of Twitter Data using Emoticons

5. A comparative study of discretization methods for naive-bayes classifiers;yang;Proceedings of PKAW vol 2002,2003

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