Sentiment Analysis of Libyan Middle Region Using Machine Learning with TF-IDF and N-grams

Author:

Habberrih AbdullahORCID,Abuzaraida Mustafa AliORCID

Publisher

Springer Nature Switzerland

Reference16 articles.

1. Abugharsa, A.: Sentiment Analysis in Poems in Misurata Sub-dialect--A Senti-ment Detection in an Arabic Sub-dialect. arXiv Prepr. arXiv:2109.07203 (2021)

2. Alyami, S., Alhothali, A., Jamal, A.: Systematic literature review of arabic aspect-based sentiment analysis. J. King Saud Univ. Inf. Sci. 34(9), 6524–6551 (2022)

3. Mehta, P., Pandya, S.: A review on sentiment analysis methodologies, practices and applications. Int. J. Sci. Technol. Res. 9(2), 601–609 (2020)

4. Duwairi, R.M., Marji, R., Sha’ban, N., Rushaidat, S.:Sentiment analysis in Arabic tweets. In: 2014 5th International Conference on Information and Communication Systems (ICICS), pp. 1–6 (2014)

5. Alshutayri, A.O.O., Atwell, E.: Exploring Twitter as a source of an Arabic dialect corpus. Int. J. Comput. Linguist. 8(2), 37–44 (2017)

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