Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model

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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Bibliographic Details
Main Authors: Xin CAI, Jingsheng LOU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2017-12-01
Series:Dianxin kexue
Subjects:
deep learning
LSTM
sentiment analysis
micro-blog
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017340/
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Summary: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.
ISSN:1000-0801

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