Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The paper proposes an identification method based on the analysis of citations content. And a visual display is presented to overcome the problem of different citation emotions based on simple reference frequency measurement. [Method/process] First, it uses regular expressions to extract the content information of the text in full text. Then, it uses the TF-IDF algorithm to select the quoted emotion feature words, combines the emotional dictionary, and uses emotional analysis technology to quote emotion recognition. Finally, the use of visual tools shows the overall distribution of the reference emotion. [Result/conclusion] The method can effectively identify emotional information in the domain of anti-aging. The experimental results show that the positive citation accounts for 21% of the total citation frequency, neutral citation accounts for 78% of the total citation frequency, and negative citation accounts for only 1% of the total citation frequency. Compared with the traditional citation network, the visualization map based on citation emotion can effectively identify the distribution of different citation emotions on the overall data set.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Core technology topic identification based on a large number of patent documents is helpful to detect key technologies in a technical field and to analyze the direction of the development of key technologies. It is the basic information work for technological innovation and has certain significance for researchers, enterprises and even the national level.[Method/process] This paper proposes a core technology topic identification method based on Chunk-LDAvis. Firstly, it is based on the classic LDA model to identify the topics. Then, the noun chunk is used to mark the results of the initial LDA topic identification, and the result of the Chunk-LDA topic recognition is constructed to improve its interpretability. Then based on the social network analysis method, the topic network is constructed to identify the core technical topics; based on the LDAvis toolkit, the interactive Chunk-LDAvis core technology topic association analysis map is plotted, and the hidden links of the core technical topics are found, and the core technology topic detection is assisted.[Result/conclusion] Through the empirical study on the field of nanoscale agriculture, the accuracy and feasibility of the proposed method are verified.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Knowledge units in scientific knowledge networks show certain clustering and communality, revealing the basic patterns and rules of community expansion and convergence in the process of changing the time series of scientific knowledge networks, which has certain significance for expanding and deepening the research on the diffusion and transmission of scientific knowledge. [Method/process] Firstly, the adjacency matrix was built based on the citation relation, and then the subject knowledge network was constructed. The Louvain community detection algorithm in complex network analysis is used to divide the domain knowledge network into communities. Then, the Graph Embedding technique was used to represent and calculate the community expansion and convergence characteristics. Finally, the time series was used as the time series. Logical clues were used to dynamically track and model the process of expansion and convergence of different communities, so as to reveal the basic patterns and laws of community expansion and convergence in the process of time series change of scientific knowledge network. [Result/conclusion] A case study in the field of health information shows that the trend of community expansion conforms to the Logistic model in the S-shaped curve function and the trend of community convergence conforms to the BiHill model in the S-shaped curve function.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] To explore the different representations of the impact of different key time points on emerging research topics.[Method/process] Firstly, we summarized the application scenarios and acquisition methods of the current turning point time, and constructed the turning point identification method of emerging research topics on the innovation evolution path according to the growth mechanism and characteristics of network nodes in the knowledge diffusion. After that, the differences between "first appearance time" "average time" and "inflection point time" are compared and analysed, and explored the earliest point in time when emerging research topics have an impact. Finally, taking stem cell research topics as an empirical field, we analysed the different representational capabilities of different key time points on the influence of emerging research topics.[Result/conclusion] The turning point time can identify influential topics earlier than the "average time". "First appearance time" "average time" and "inflection point time" have significant differences in the topic evolution path. The determination of the distribution time of emerging research topics in the innovation path requires the synthesis of three different types of key time points.
Subjects: Library Science，Information Science >> Information Science submitted time 2017-11-08 Cooperative journals: 《数据分析与知识发现》
Abstract：【目的】对主要的文本语义挖掘方法及其在情报研究中的应用进行综述分析。【文献范围】集中选择近10年国内外主流的文本语义挖掘方法在情报研究领域的应用以及少数此前的代表性研究和文本语义挖掘方法的进展研究。【方法】分别概括介绍词、句子和篇章粒度的文本语义挖掘方法、算法, 并通过主题演化和技术挖掘领域的实际应用进行方法剖析。【结果】文本语义挖掘方法与传统的情报分析方法相比, 主要弥补了两个缺陷: 侧重于分析结构化的数据, 无法处理多种异构的数据源; 分析停留在统计语法层面, 没有深入到文本的语义信息。【局限】仅对主流的文本语义挖掘方法以及在科学研究领域的应用进行综述分析, 研究不全面。【结论】文本语义挖掘方法弥补了传统情报分析方法的不足, 是情报研究方法的重要发展方向, 随着方法的成熟, 下一步研究重点是外部语义资源的丰富。
Hits
Hits
Downloads
Comment