Browse State-of-the-Art › Arabic Sentiment Analysis

Arabic Sentiment Analysis

7 papers with code · 1 benchmark · 4 datasets archive 2025-07-28

Arabic sentiment analysis is the process of computationally identifying and categorizing opinions expressed in a piece of arabic text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral (Source: Oxford Languages)

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Dataset	Best model (first row in archive order)	Paper	Code	Syntology	Compare
!(()&&!\|\|\| (1 row)	hkhk	Advancing Arabic Sentiment Analysis: ArSen Benchmark and the...	code	—	Compare

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

LABR ArSentD-LEV ArSen-20 ArSen

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Sentiment Analysis

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (42 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

Advancing Arabic Sentiment Analysis: ArSen Benchmark and the Improved Fuzzy Deep Hybrid Network

15 Nov 2024 1 repository listed

Sentiment analysis is pivotal in Natural Language Processing for understanding opinions and emotions in text.
ArSen-20: A New Benchmark for Arabic Sentiment Detection

11 Apr 2024 1 repository listed

Sentiment detection remains a pivotal task in natural language processing, yet its development in Arabic lags due to a scarcity of training materials compared to English.
A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets

29 Jan 2022 1 repository listed

This SCM+MMA model is applied to SudSenti2 and SudSenti3 with accuracies of 92.
CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing

1 May 2020 1 repository listed

We present CAMeL Tools, a collection of open-source tools for Arabic natural language processing in Python.
hULMonA: The Universal Language Model in Arabic

1 Aug 2019 1 repository listed

Experiment results show that the developed hULMonA and multi-lingual ULM are able to generalize well to multiple Arabic data sets and achieve new state of the art results in Arabic Sentiment Analysis for some of the…
A Comparative Study of Feature Selection Methods for Dialectal Arabic Sentiment Classification Using Support Vector Machine

17 Feb 2019 1 repository listed

In contrast to the dialectal Arabic language, these selection methods have been investigated widely for the English language.
LABR: A Large Scale Arabic Sentiment Analysis Benchmark

25 Nov 2014 1 repository listed

We explore using the dataset for two tasks: (1) sentiment polarity classification; and (2) ratings classification.

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