Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model
As an internet media,China Telecom official micro-blog is an important channel for the company to publish information and get feedback from users.Users’ comments on telecom official micro-blog messages reflect different attitudes towards telecom brand,products and services.The message content and co...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2017-12-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017340/ |
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| _version_ | 1841530244230545408 |
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| author | Xin CAI Jingsheng LOU |
| author_facet | Xin CAI Jingsheng LOU |
| author_sort | Xin CAI |
| collection | DOAJ |
| description | As an internet media,China Telecom official micro-blog is an important channel for the company to publish information and get feedback from users.Users’ comments on telecom official micro-blog messages reflect different attitudes towards telecom brand,products and services.The message content and comment data of the micro-blog was crawled,and the Word2vec was used to express the text information after data cleaning,and the deep learning platform was chosen to carry out the positive and negative emotional classification of the user interaction text based on the LSTM deep neural network model,and sentiment analysis of telecom official micro-blog users was realized. |
| format | Article |
| id | doaj-art-c6a2360e862f4acba8d3542a9cc61c44 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2017-12-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-c6a2360e862f4acba8d3542a9cc61c442025-01-15T03:05:39ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-12-013313614159598689Sentiment analysis of telecom official micro-blog users based on LSTM deep learning modelXin CAIJingsheng LOUAs an internet media,China Telecom official micro-blog is an important channel for the company to publish information and get feedback from users.Users’ comments on telecom official micro-blog messages reflect different attitudes towards telecom brand,products and services.The message content and comment data of the micro-blog was crawled,and the Word2vec was used to express the text information after data cleaning,and the deep learning platform was chosen to carry out the positive and negative emotional classification of the user interaction text based on the LSTM deep neural network model,and sentiment analysis of telecom official micro-blog users was realized.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017340/deep learningLSTMsentiment analysismicro-blog |
| spellingShingle | Xin CAI Jingsheng LOU Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model Dianxin kexue deep learning LSTM sentiment analysis micro-blog |
| title | Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model |
| title_full | Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model |
| title_fullStr | Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model |
| title_full_unstemmed | Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model |
| title_short | Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model |
| title_sort | sentiment analysis of telecom official micro blog users based on lstm deep learning model |
| topic | deep learning LSTM sentiment analysis micro-blog |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017340/ |
| work_keys_str_mv | AT xincai sentimentanalysisoftelecomofficialmicroblogusersbasedonlstmdeeplearningmodel AT jingshenglou sentimentanalysisoftelecomofficialmicroblogusersbasedonlstmdeeplearningmodel |