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With the rapid evolution of cross-strait situation, Mainland China as a subject of social science study has evoked the voice of Rethinking China Study among intelligentsia recently. This essay tried to apply an automatic content analysis tool (CATAR) to the journal Mainland China Studies (1998-2015) in order to observe the research trends based on the clustering of text from the title and abstract of each paper in the journal. The results showed that the 473 articles published by the journal were clustered into seven salient topics. From the publication number of each topic over time (including volume of publications, percentage of publications), there are two major topics of this journal while other topics varied over time widely. The contribution of this study includes: 1. We could group each independent study into a meaningful topic, as a small scale experiment verified that this topic clustering is feasible. 2. This essay reveals the salient research topics and their trends for the Taiwan journal Mainland China Studies. 3. Various topical keywords were identified, providing easy access to the past study. 4. The yearly trends of the identified topics could be viewed as signature of future research directions.
Chinas scientific output has risen precipitously over the past decade; it is now the worlds second-largest producer of scientific papers, behind only the United States. The quality of Chinas research is also on the rise (Van Noorden, 2016). The onlin
This paper describes an efficiently scalable approach to measure technological similarity between patents by combining embedding techniques from natural language processing with nearest-neighbor approximation. Using this methodology we are able to co
In contrast to other fields where conferences are typically for less polished or in-progress research, computing has long relied on referred conference papers as a venue for the final publication of completed research. While frequently a topic of inf
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
Motivated by recent interest in the status and consequences of competition between the U.S. and China in A.I. research, we analyze 60 years of abstract data scraped from Scopus to explore and quantify trends in publications on A.I. topics from instit