Three Mars Missions from Three Countries: Multilingual Sentiment Analysis Using VADER-Reference-Cited by-同舟云学术

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Three Mars Missions from Three Countries: Multilingual Sentiment Analysis Using VADER

Published:2022 Issue: Volume: Page:371-387
ISSN:2367-4512
Container-title:The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)
language:
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Author:

Alsharhan Abdulla M.^ORCID,Almansoori Haroon R.^ORCID,Salloum Said^ORCID,Shaalan Khaled^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-03918-8_32

Reference26 articles.

1. Sircar, N.: UAE Mars mission: Success of Hope Probe overwhelms world media - News | Khaleej Times (2021)

2. Band, A.: Twitter Sentiment Analysis using Vader & Tweepy | Python in Plain English (2020)

3. Vesterberg, P.: Sentiment analysis and the moon landing | Towards Data Science, Medium (2019)

4. Loria, S.: textblob Documentation (2020)

5. Klappenbach, A.: The 12 Most Spoken Languages in the World – Busuu Blog, Busuu (2021)

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