Text Mining and Visualization of Political Party Programs Using Keyword Extraction Methods: The Case of Portuguese Legislative Elections-Reference-Cited by-同舟云学术

Text Mining and Visualization of Political Party Programs Using Keyword Extraction Methods: The Case of Portuguese Legislative Elections

Published:2023 Issue: Volume: Page:340-349
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Campos Ricardo^ORCID,Jatowt Adam^ORCID,Jorge Alípio^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-28035-1_24

Reference25 articles.

1. Bougouin, A., Boudin, F., Daille, B.: TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction. In: Proceedings of the Sixth International Joint Conference on Natural Language Processing (IJCNLP’13), pp. 443–551 (2013). https://aclanthology.org/I13-1062

2. Britzolakis, A., Kondylakis, H., Papadakis, N.: AthPPA: A Data Visualization Tool for Identifying Political Popularity over Twitter. Information 12, 8 (July 2021). https://doi.org/10.3390/info12080312

3. van Aggelen, A., Hollink, L., Kemman, M., Kleppe, M., Beunders, H.: The debates of the European Parliament as Linked Open Data. Semantic Web – Interoperability, Usability, Applicability 8(2), 271–281 (December 2016). https://doi.org/10.3233/SW-160227

4. Kaal, A.R., Maks, I., van Elfrinkhof, A.M.E.: From Text to Political Positions: Text analysis across disciplines. John Benjamins, Amsterdam (2014)

5. Gomes, D., Cruz, D., Miranda, J., Costa, M., Fontes, S.: Search the Past with the Portuguese Web Archive. In: Proceedings of the 22nd International Conference on World Wide Web (WWW'13), pp. 321–324. ACM, Rio de Janeiro, Brazil (2013). https://doi.org/10.1145/2487788.2487934

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