The Arabic Sentiment Twitter Dataset for Levantine dialect (ArSenTD-LEV) contains 4,000 tweets written in Arabic and equally retrieved from Jordan, Lebanon, Palestine and Syria.
Dataset of 10k annotated samples for Arabic Sentiment Analysis in the Syrian Dialect. If you use any part of this dataset in your research, please cite it using the following BibTex entry: @misc{arous
Description of Arabic Tweets Sentiment Classification: The folder consists of one CSV file: Arabic_tweets_sentiment.csv Which contains (2,286,128) labeled tweets. The file contains three features: 1.
