About

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)

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Datasets

Greatest papers with code

hULMonA: The Universal Language Model in Arabic

WS 2019 aub-mind/hULMonA

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 tested sets.

ARABIC SENTIMENT ANALYSIS LANGUAGE MODELLING TEXT CLASSIFICATION TRANSFER LEARNING

LABR: A Large Scale Arabic Sentiment Analysis Benchmark

25 Nov 2014mahmoudnabil/labr

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

ARABIC SENTIMENT ANALYSIS