Arabic Sentiment Analysis Edit Task
Natural Language Processing • Sentiment Analysis
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)
Benchmarks
Datasets
Greatest papers with code
CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing
LREC 2020
• CAMeL-Lab/camel_tools
• 
We present CAMeL Tools, a collection of open-source tools for Arabic natural language processing in Python.
ARABIC SENTIMENT ANALYSIS ARABIC TEXT DIACRITIZATION DIALECT IDENTIFICATION MORPHOLOGICAL ANALYSIS MORPHOLOGICAL INFLECTION NAMED ENTITY RECOGNITION
hULMonA: The Universal Language Model in Arabic
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
We explore using the dataset for two tasks: (1) sentiment polarity classification; and (2) ratings classification.