The fifth year of the Sentiment Analysis in Twitter task is described, with a new language, Arabic, for all subtasks, and information from the profiles of the Twitter users who posted the target tweets made available.
@article{rosenthal2017semeval,
added-at = {2023-09-22T12:22:20.000+0200},
author = {Rosenthal, Sara and Farra, Noura and Nakov, Preslav},
biburl = {https://www.bibsonomy.org/bibtex/2a20c3a08a1296efa9881c69fff958855/tomvoelker},
description = {The fifth year of the Sentiment Analysis in Twitter task is described, with a new language, Arabic, for all subtasks, and information from the profiles of the Twitter users who posted the target tweets made available.},
interhash = {028322fc1c80d926820083023bde007c},
intrahash = {a20c3a08a1296efa9881c69fff958855},
keywords = {sentiment_analysis twitter semeval natural_language_processing related_works_benchmark posted_with_chatgpt},
timestamp = {2023-09-22T12:22:20.000+0200},
title = {SemEval-2017 Task 4: Sentiment Analysis in Twitter},
url = {https://www.aclweb.org/anthology/S17-2088},
year = 2017
}