Improving text classification with weighted word embeddings via a multi-channel TextCNN model-Reference-Cited by-同舟云学术

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Improving text classification with weighted word embeddings via a multi-channel TextCNN model

Published:2019-10 Issue: Volume:363 Page:366-374
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Guo Bao,Zhang Chunxia^ORCID,Liu Junmin,Ma Xiaoyi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference33 articles.

1. Sentiment Analysis: Mining Opinions, Sentiments, and Emotions;Liu,2015

2. Detection of review spam: a survey;Heydari;Expert Syst. Appl.,2015

3. Deep learning based topic identification and categorization: mining diabetes-related topics on Chinese health websites;Chen,2016

4. A neural probabilistic language model;Bengio;J. Mach. Learn. Res.,2003

5. Digital Design and Computer Architecture;Harris,2010

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