WordPPR: A Researcher-Driven Computational Keyword Selection Method for Text Data Retrieval from Digital Media

Author:

Zhang Yini1,Chen Fan2,Suk Jiyoun3ORCID,Yue Zhiying4

Affiliation:

1. Department of Communication, University at Buffalo, Buffalo, New York, USA

2. Google LLC, New York, NY, USA

3. Department of Communication, University of Connecticut, Storrs, Connecticut, USA

4. Digital Wellness Lab, Boston Children’s Hospital and Harvard Medical School, Boston, Massachusetts, USA

Publisher

Informa UK Limited

Subject

Communication

Reference57 articles.

1. A keyword extraction method from twitter messages represented as graphs

2. Improving and evaluating topic models and other models of text;Airoldi E. M.;Journal of the American Statistical Association,2016

3. Connections to neighborhood storytellers and community-oriented emotional disclosure on Twitter during an emergency event

4. Antoniak, M., & Mimno, D. (2021, August). Bad seeds: Evaluating lexical methods for bias measurement. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) (pp. 1889–1904).

5. Automated Text Classification of News Articles: A Practical Guide

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