Your conditions: 吴亚平
  • Twitter Text Topic Mining and Sentiment Analysis Under the Belt and Road Initiative

    Subjects: Library Science,Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] The Belt and Road Initiative has attracted widespread attention around the world, and users in many countries have expressed their opinions, comments and discussed with each other on twitter, the most representative social media. The discussion topic and emotional tendency of "the Belt And Road" in the world extracted from the tweets will be helpful for the government to optimize their propaganda strategies and increase the exposure and attention of the Belt and Road Initiative.[Method/process] This paper collected more than 60 000 tweets related to the Belt and Road Initiative in 2017, and respectively carried out data preprocessing, data description, topic mining, and sentiment analysis in Chinese and English, and realized cross-analysis of topics and emotions to draw conclusions.[Result/conclusion] The tweet theme in 2017 is mainly around the "Belt and Road Forum for International Cooperation". Chinese tweets pay more attention to the planning and implementation of the forum, as well as security issues, visits by the leadership, etc. The emotional value fluctuates greatly, especially the negative emotions on security issues. English tweets are more concerned with the facts of holding the summit forum and the economic effects brought by the forum. The emotional fluctuations are small, and the emotional value of the economic aspect is that the positive proportion is significantly higher than the negative and neutral emotional values.

  • Reader Data Curation and Value-added in University Libraries: A Case Study of the 2017 Peking University Reading Report

    Subjects: Library Science,Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] The paper put forward the reader data utilization framework to guide the library to systematically collect, organize, save and mine reader data more systematically and realize its value-added utilization.[Method/process] The paper introduced data curation and data lifecycle-based data service development concepts, and built a lifecycle-based reader data curation framework. Based on this framework, the paper took the practice of the 2017 Peking University Reading Report as an example, curating for libraries and readers.[Result/conclusion] Through the curation of reader data, on the one hand, it helps the library to clarify the readers' access and borrowing rules, core reader groups, resource utilization, and rationally optimize various resources and services. On the other hand, by recommending reading resources and services to readers, readers can improve their reading quality and make full use of libraries. It provides a useful reference for the standardized and in-depth development of reader data curation and value-added utilization.

  • An Analysis of News Topics Mining Based on LDA Model: Taking “The Belt and Road” Related News as an Example

    Subjects: Library Science,Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] This paper conducted a LDA topic analysis on "the Belt and Road" related news content in official medias and built a basic framework of news topic analysis using LDA model to help the public understand the dynamics and progress of the initiative and its focus in different periods.[Method/process] This paper selected "the Belt and Road" related news on the Chinese government Website during 2015 to 2017, and conducted the topic extraction and heat evolution analysis using LDA model.[Result/conclusion] A total of 30 topics were extracted and summarized as seven categories called policy coordination, facilities connectivity, unimpeded trade, financial integration, people-to-people bond, economic impact and government work. Among them, the policy coordination category has the highest heat during whole time period. Unimpeded trade category and economic impact category are the second and third highest. The heat of some topics, such as "reform and transformation", decline over time, while others like "import and export" increase. These results reflect the changes in the attention of the official media to different news topics related with "the Belt and Road".