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Sentiment feature analysis in arabic social media using association rule and n-gram model /

Al-Gebory, Bilal Sabri Diekan,

Sentiment feature analysis in arabic social media using association rule and n-gram model / Bilal Sabri Diekan Al-Gebory. - xiii, 105 pages : illustrations ; 30 cm.

Tesis sedang dalam proses di Unit Katalog, PTSL dan telah dihantar pada 25.7.2017

Thesis (Sarjana Sains Komputer) - Universiti Kebangsaan Malaysia, 2016.

References : page 93-105.

Subjects--Corporate Names:
Universiti Kebangsaan Malaysia--Dissertations.

Subjects--Topical Terms:
Dissertations, Academic--Malaysia.
Computational linguistics.
Social media.
Language and the Internet--Egypt.
Communication and technology--Egypt.

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Sentiment feature analysis in arabic social media using association rule and n-gram model /

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