American Psychological Association 6th edition

Devi, N. L., Anilkumar, B., Sowjanya, A. M., & Kotagiri, S. (2024). An innovative word embedded and optimization based hybrid artificial intelligence approach for aspect-based sentiment analysis of app and cellphone reviews. Multimedia Tools & Applications, 83(33), 79303-79336. https://doi.org/10.1007/s11042-024-18510-7

ISO-690 (author-date, English)

DEVI, N. Lakshmi, ANILKUMAR, B., SOWJANYA, A. Mary und KOTAGIRI, Srividya, 2024. An innovative word embedded and optimization based hybrid artificial intelligence approach for aspect-based sentiment analysis of app and cellphone reviews. Multimedia Tools & Applications. 21 Oktober 2024. Vol. 83, no. 33, p. 79303-79336. DOI 10.1007/s11042-024-18510-7.

Modern Language Association 9th edition

Devi, N. L., B. Anilkumar, A. M. Sowjanya, und S. Kotagiri. „An Innovative Word Embedded and Optimization Based Hybrid Artificial Intelligence Approach for Aspect-Based Sentiment Analysis of App and Cellphone Reviews.“. Multimedia Tools & Applications, Bd. 83, Nr. 33, Oktober 2024, S. 79303-36, https://doi.org/10.1007/s11042-024-18510-7.

Mohr Siebeck - Recht (Deutsch - Österreich)

Devi, N. Lakshmi/Anilkumar, B./Sowjanya, A. Mary/Kotagiri, Srividya: An innovative word embedded and optimization based hybrid artificial intelligence approach for aspect-based sentiment analysis of app and cellphone reviews., Multimedia Tools & Applications 2024, 79303-79336.

Emerald - Harvard

Devi, N.L., Anilkumar, B., Sowjanya, A.M. und Kotagiri, S. (2024), „An innovative word embedded and optimization based hybrid artificial intelligence approach for aspect-based sentiment analysis of app and cellphone reviews.“, Multimedia Tools & Applications, Vol. 83 No. 33, S. 79303-79336.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.