An embedding approach for analyzing the evolution of research topics with a case study on computer science subdomains

Author:

Taher Harikandeh Seyyed Reza,Aliakbary SadeghORCID,Taheri Soroush

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Science Applications,General Social Sciences

Reference49 articles.

1. Alam, M. H., Ryu, W.-J., & Lee, S. (2017). Hashtag-based topic evolution in social media. World Wide Web, 20(6), 1527–1549.

2. Allan, J. (2002). Introduction to topic detection and tracking (pp. 1–16). Boston: Springer.

3. Becker, H., Naaman, M., & Gravano, L. (2009) Event identification in social media, in 12th International Workshop on the Web and Databases, WebDB 2009, Providence, Rhode Island, USA, June 28, 2009.

4. Belford, M., & Greene, D. (2020). Ensemble topic modeling using weighted term co-associations. Expert Systems with Applications, 161, 113709.

5. Blei, D. M. (2012). Probabilistic topic models (Vol. 55, pp. 77–84). New York, NY: Association for Computing Machinery.

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