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Analysis of English abstracts in Journal of the Korean Data & Information Science Society using topic models and social network analysis
1 references·3 citing·12 second hop
Analysis of English abstracts in Journal of the Korean Data & Information Science Society using topic models and social network analysis (2015)Analysis of English abstracts in Journal …topicmodels : An R Package for Fitting Topic Models (2011)topicmodels : An R Package fo…An Analysis of Issues in Media Reports on the 2022 Revised Curriculum Policy Using Text Mining (2023)An Analysis of Issues in Medi…Analysis of Articles Related to Quantum Mechanics by Using Topic Modeling: Focus on Comparing LDA, CTM, STM Models (2020)Analysis of Articles Related …Research of Topic Analysis for Extracting the Relationship between Science Data (2016)Research of Topic Analysis fo…Studying the history of ideas using topic models (2008)Text Mining Infrastructure in R (2008)The double‐edged sword of recombination in breakthrough innovation (2014)Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology (2018)stm : An R Package for Structural Topic Models (2019)토픽모델링을 활용한 국내 문헌정보학 연구동향 분석 (2013)Extracting Policy Positions from Political Texts Using Words as Data (2003)Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of U.S. government arts funding (2013)Structural Topic Models for Open‐Ended Survey Responses (2014)The Agenda-Setting Function of Mass Media (1972)Characteristics of Entering Teacher Candidates (1992)Text Analytics with Python (2016)
this work references cited by second hop

References

  • 2011topicmodels : An R Package for Fitting Topic Models1,114 cited

Cited by

  • 2023An Analysis of Issues in Media Reports on the 2022 Revised Curriculum Policy Using Text Mining4 cited
  • 2020Analysis of Articles Related to Quantum Mechanics by Using Topic Modeling: Focus on Comparing LDA, CTM, STM Models2 cited
  • 2016Research of Topic Analysis for Extracting the Relationship between Science Data0 cited

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