🧑‍🔬 Ismail Babaoğlu

🏛️ Affiliations

🎓Konya Technical UniversityKaratay · Türkiye2019–2026 · 15 paperscurrent🎓Selçuk UniversityKonya · Türkiye2007–2019 · 26 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets (2017 · 25 citations)
   The paper describes the Tw-StAR team's entry to SemEval-2017 subtask 4A-Arabic, which asks systems to label each Arabic tweet as positive, negative or neutral.
2. Syntax-Ignorant N-gram Embeddings for Sentiment Analysis of Arabic Dialects (2019 · 13 citations)
   Arabic dialects vary in syntax and allow free word order. A sentiment classifier that relies on ordered, syntax-aware sentence composition, such as a CNN or RecNN, may therefore work well for one dialect and poorly for another. Mulki et al. address this with Tw-StAR, a shallow feed-forward network that learns n-gram…
3. Modern Trends in Arabic Sentiment Analysis: A Survey (2017 · 12 citations)
   After the 2010 uprisings, Arabic opinion content on social media grew sharply, and demand for automatic opinion mining grew with it.
4. Empirical Evaluation of Leveraging Named Entities for Arabic Sentiment Analysis (2019 · 6 citations)
   The paper asks whether named entities (people, places, organizations) can serve as sentiment signals in Arabic social-media sentiment analysis, rather than being ignored or stripped out.

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification ↗Proceedings of the 12th International Workshop on Semantic Evaluation · no summary yetHala Mulki et al.2018 · 43 citations
2. Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic TweetsInternational Workshop on Semantic Evaluation (SemEval)Hala Mulki, Hatem Haddad, Mourad Gridach, et al.2017 · 25 citations
3. Syntax-Ignorant N-gram Embeddings for Sentiment Analysis of Arabic DialectsArabic Natural Language Processing Workshop (WANLP)Hala Mulki, Hatem Haddad, Mourad Gridach, et al.2019 · 13 citations
4. Modern Trends in Arabic Sentiment Analysis: A SurveyTraitement Automatique des LanguesHala Mulki, Hatem Haddad, Ismail Babaoğlu2017 · 12 citations
5. Empirical Evaluation of Leveraging Named Entities for Arabic Sentiment AnalysisThe International Arab Journal of Information TechnologyHala Mulki, Hatem Haddad, Mourad Gridach, et al.2019 · 6 citations

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• Hala Mulki ×4
• Hatem Haddad ×4
• Mourad Gridach ×3

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• International Workshop on Semantic Evaluation (SemEval) ×2: SemEval 2017
• Traitement Automatique des Langues: Traitement Automatique des Langues 2017
• The International Arab Journal of Information Technology: The International Arab Journal of Information Technology 2019
• Arabic Natural Language Processing Workshop (WANLP): WANLP 2019

🔗 Cited by

Papers of our library cite their works 17 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated 30 October 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ismail-babaoglu/