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

Xin CAI; Jingsheng LOU

doi:10.11959/j.issn.1000-0801.2017340

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

Column:big data technology and application | 更新时间：2024-06-05

- Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model
- Telecommunications Science Vol. 33, Issue 12, Pages: 136-141(2017)
- 作者机构：
- 作者简介：
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- DOI：10.11959/j.issn.1000-0801.2017340
  CLC： TP391
- Published Online：2017-12，
  
  Published：20 December 2017
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Xin CAI, Jingsheng LOU. Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model[J]. Telecommunications science, 2017, 33(12): 136-141.
DOI：

Xin CAI, Jingsheng LOU. Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model[J]. Telecommunications science, 2017, 33(12): 136-141. DOI： 10.11959/j.issn.1000-0801.2017340.

摘要

中国电信官方微博（简称电信官微）作为一种互联网媒体，是中国电信对外发布信息并获取用户反馈的重要渠道。用户对电信官微消息内容的评论，反映了用户对中国电信品牌、产品和服务的不同态度。爬取了电信官微的消息内容和评论数据，对经过清洗的数据采用Word2vec进行文本信息表示，并使用深度学习平台基于LSTM深度神经网络模型进行用户交互文本的正负面情感分类，实现电信官微访问用户情绪分析。

Abstract

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.

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references

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