Title :
Towards Analyzing Saudi Tweets
Author :
Nora Al-Twairesh;Hend Al-Khalifa;AbdulMalik Al-Salman
Author_Institution :
Inf. Technol. Dept., King Saud Univ., Riyadh, Saudi Arabia
fDate :
4/1/2015 12:00:00 AM
Abstract :
Recently Arabic dialects are receiving attention from the NLP research community due to their high usage in social media. One of the challenges of sentiment analysis of social media is the use of dialects. Since our ongoing research is on sentiment analysis of Saudi tweets, we conduct a pilot study to discover the percentage of Modern Standard Arabic (MSA) use by Saudi tweeters. The preliminary results show that 80% of the tweets used in the study are in MSA. Some phenomena found about the use of dialect in Saudi tweets are highlighted.
Keywords :
"Twitter","Tagging","Standards","Media","Speech recognition","Speech","Computational linguistics"
Conference_Titel :
Arabic Computational Linguistics (ACLing), 2015 First International Conference on
Print_ISBN :
978-1-4673-9154-2
DOI :
10.1109/ACLing.2015.23
