Arabic Tweets Sentiment Classification 2024
Published: 20 August 2024| Version 1 | DOI: 10.17632/m88gg52wp7.1
Contributors:
Ashraf Ahmad, Eman Alnagi, Iyad Al Dasouqi, Yousef Abu Hour, Dana Halabi, Tamer TahamoqaDescription
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. id: Unique ID given for each tweet (removed before training) 2. text: The tweet text in Arabic, cleaned and pre-processed. 3. class: the dataset has 3 classes specifying the tweet sentiment: a. Negative (1,148,870) b. Neutral (613,142) c. Positive (524,116).
Files
Institutions
Princess Sumaya University for Technology
Categories
Artificial Intelligence, Natural Language Processing, Machine Learning, Information Classification, Detection System, Deep Learning