Sampling techniques for Arabic Sentiment Classification

Author:

Addi Hajar Ait1,Ezzahir Redouane1

Affiliation:

1. ENSA-Agadir, MAISI, Ibn Zohr University, Agadir, Morocco

Publisher

ACM

Reference27 articles.

1. A novel robust Arabic light stemmer

2. Elnagar Ashraf Khalifa Yasmin S. and Einea Anas. 2018. Hotel Arabic-Reviews Dataset Construction for Sentiment Analysis Applications. 35--52. https://doi.org/10.1007/78-3-319-67056-0_3 Elnagar Ashraf Khalifa Yasmin S. and Einea Anas. 2018. Hotel Arabic-Reviews Dataset Construction for Sentiment Analysis Applications. 35--52. https://doi.org/10.1007/78-3-319-67056-0_3

3. Elhassan At M Aljourf Fahad Al-Mohanna and M. R. Shoukri. 2016. Classification of Imbalance Data using Tomek Link(T-Link) Combined with Random Under-sampling (RUS) as a Data Reduction Method. Elhassan At M Aljourf Fahad Al-Mohanna and M. R. Shoukri. 2016. Classification of Imbalance Data using Tomek Link(T-Link) Combined with Random Under-sampling (RUS) as a Data Reduction Method.

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1. Opinion Mining using Sentiment Analysis and Topic Modelling for an Entertainment Event;2022 Fifth National Conference of Saudi Computers Colleges (NCCC);2022-12-17

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