Sentiment Analysis in Twitter: Impact of Morphological Characteristics-Reference-Cited by-同舟云学术

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Sentiment Analysis in Twitter: Impact of Morphological Characteristics

Published:2020-08-07 Issue: Volume: Page:266-273
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Silva Jesús,Cera Juan Manuel,Vargas Jesús,Lezama Omar Bonerge Pineda

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-53036-5_29

Reference18 articles.

1. Zahra, K., Imran, M., Ostermann, F.O.: Automatic identification of eyewitness messages on Twitter during disasters. Inf. Process. Manag. 57(1), 102107 (2020)

2. Kaul, A., Mittal, V., Chaudhary, M., Arora, A.: Persona classification of celebrity Twitter users. In: Digital and Social Media Marketing, pp. 109–125. Springer, Cham (2020)

3. Motamedi, R., Jamshidi, S., Rejaie, R., Willinger, W.: Examining the evolution of the Twitter elite network. Soc. Netw. Anal. Mining 10(1), 1 (2020)

4. Rodríguez-Ruiz, J., Mata-Sánchez, J.I., Monroy, R., Loyola-González, O., López-Cuevas, A.: A one-class classification approach for bot detection on Twitter. Comput. Secur. 91, 101715 (2020)

5. Vásquez, C., Torres-Samuel, M., Viloria, A., Borrero, T.C., Varela, N., Lis-Gutiérrez, J.P., Gaitán-Angulo, M.: Visibility of research in universities: the triad product-researcher-institution. Case: Latin american countries. In: International Conference on Data Mining and Big Data, pp. 225–234. Springer, Cham, June 2018

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