Words and Facts: Textual Analysis—Topic-Centred Methods for Social Scientists

Meter, Karl M. van

doi:10.1007/978-3-319-97370-8_6

Cited by 2 publications

(1 citation statement)

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“…Based on the three-level methodology taxonomy constructed by manual annotation, we used AP (affinity propagation) clustering (Frey and Dueck 2007), agglomerative hierarchical clustering (Brandes et al 2003;Meter 2019), and K-means clustering (Hartigan and Wong 1979) to cluster the methodology entities. Finally, the optimal clustering result was selected to deepen the hierarchy of the methodology taxonomy.…”

Section: Using the Clustering Methods To Construct Deep Methodology T...mentioning

confidence: 99%

Using Full-text Content of Academic Articles to Build a Methodology Taxonomy of Information Science in China

Zhang¹,

Zhang²

2021

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Research on the construction of traditional information science methodology taxonomy is mostly conducted manually. From the limited corpus, researchers have attempted to summarize some of the research methodology entities into several abstract levels (generally three levels); however, they have been unable to provide a more granular hierarchy. Moreover, updating the methodology taxonomy is traditionally a slow process. In this study, we collected full-text academic papers related to information science. First, we constructed a basic methodology taxonomy with three levels by manual annotation. Then, the word vectors of the research methodology entities were trained using the full-text data. Accordingly, the research methodology entities were clustered and the basic methodology taxonomy was expanded using the clustering results to obtain a methodology taxonomy with more levels. This study provides new concepts for constructing a methodology taxonomy of information science. The proposed methodology taxonomy is semi-automated; it is more detailed than conventional schemes and the speed of taxonomy renewal has been enhanced.

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Section: Using the Clustering Methods To Construct Deep Methodology T...mentioning

confidence: 99%

Using Full-text Content of Academic Articles to Build a Methodology Taxonomy of Information Science in China

Zhang¹,

Zhang²

2021

View full text Add to dashboard Cite

show abstract

Using Full-text Content of Academic Articles to Build a Methodology Taxonomy of Information Science in China

Zhang¹,

Zhang²

2021

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Words and Facts: Textual Analysis—Topic-Centred Methods for Social Scientists

Cited by 2 publications

References 21 publications

Using Full-text Content of Academic Articles to Build a Methodology Taxonomy of Information Science in China

Using Full-text Content of Academic Articles to Build a Methodology Taxonomy of Information Science in China

Using Full-text Content of Academic Articles to Build a Methodology Taxonomy of Information Science in China

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