Survey of text classification methods based on deep learning
Text classification is a research hot spot in the field of natural language processing,which is mainly used in public opinion detection,news classification and other fields.In recent years,artificial neural networks has good performance in many tasks of natural language processing,the application of...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2020-08-01
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| Series: | 网络与信息安全学报 |
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| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020010 |
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| _version_ | 1841530005251686400 |
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| author | Sijia DU Haining YU Hongli ZHANG |
| author_facet | Sijia DU Haining YU Hongli ZHANG |
| author_sort | Sijia DU |
| collection | DOAJ |
| description | Text classification is a research hot spot in the field of natural language processing,which is mainly used in public opinion detection,news classification and other fields.In recent years,artificial neural networks has good performance in many tasks of natural language processing,the application of neural network technology to text classification has also made many achievements.In the field of text classification based on deep learning,numerical representation of text and deep-learning-based text classification are two main research directions.The important technology of word embedding in text representation and the implementation principle and research status of deep learning method applied in text classification were systematically analyzed and summarized.And the shortcomings and the development trend of text classification methods in view of the current technology development were analyzed. |
| format | Article |
| id | doaj-art-c6ac9b83123e4d9195bab9030a33d612 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2020-08-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-c6ac9b83123e4d9195bab9030a33d6122025-01-15T03:14:13ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2020-08-01611359559850Survey of text classification methods based on deep learningSijia DUHaining YUHongli ZHANGText classification is a research hot spot in the field of natural language processing,which is mainly used in public opinion detection,news classification and other fields.In recent years,artificial neural networks has good performance in many tasks of natural language processing,the application of neural network technology to text classification has also made many achievements.In the field of text classification based on deep learning,numerical representation of text and deep-learning-based text classification are two main research directions.The important technology of word embedding in text representation and the implementation principle and research status of deep learning method applied in text classification were systematically analyzed and summarized.And the shortcomings and the development trend of text classification methods in view of the current technology development were analyzed.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020010text classificationdeep learningartificial neural networkword embedding |
| spellingShingle | Sijia DU Haining YU Hongli ZHANG Survey of text classification methods based on deep learning 网络与信息安全学报 text classification deep learning artificial neural network word embedding |
| title | Survey of text classification methods based on deep learning |
| title_full | Survey of text classification methods based on deep learning |
| title_fullStr | Survey of text classification methods based on deep learning |
| title_full_unstemmed | Survey of text classification methods based on deep learning |
| title_short | Survey of text classification methods based on deep learning |
| title_sort | survey of text classification methods based on deep learning |
| topic | text classification deep learning artificial neural network word embedding |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020010 |
| work_keys_str_mv | AT sijiadu surveyoftextclassificationmethodsbasedondeeplearning AT hainingyu surveyoftextclassificationmethodsbasedondeeplearning AT honglizhang surveyoftextclassificationmethodsbasedondeeplearning |