Abstract—We present a new Libyan dialect corpus which contains data set of 5000 statements that written by Libyan Twitter's users as tweets. The corpus is manually classified into fifteen categories. However, the statistical results of corpus data show that there is the significant variety of tweets numbers among categories. Obviously, Libyan Twitter's users tend to express most their tweets in sports whereas the lowest number of tweets was in films category. Yet no corpus of Libyan dialect has emerged. Therefore, building such a corpus is very crucial to be used for the public purposes of not only linguistic but also NLP research for Libyan dialect.

Index Terms—Libyan dialect, libyan dialect NLP, libyan twitter corpus, twitter corpus.

Husien Albashir Alhammi is with Department of Electrical and Electronic, Polytechnic Institute of Zawia, Zawia, Libya.
Ramadan Alsayed Alfard is with Department of Computer, Faculty of Science, University of Zawia, Zawia, Libya.

Cite:Husien Albashir Alhammi, Ramadan Alsayed Alfard, "Building a Twitter Social Media Network Corpus for Libyan Dialect," International Journal of Computer and Electrical Engineering vol. 10, no. 1, pp. 46-52, 2018.