Work

AWATIF: A Multi-Genre Corpus for Modern Standard Arabic Subjectivity and Sentiment Analysis

Year: 2012

Type: conference-paper

Abstract: We present AWATIF, a multi-genre corpus of Modern Standard Arabic (MSA) labeled for subjectivity and sentiment analysis (SSA) at the sentence level.The corpus is labeled using both regular as well as crowd sourcing methods under three different conditions with two types of annotation guidelines.We describe the sub-corpora constituting the corpus and provide examples from the various SSA categories.In the process, we present our linguistically-motivated and genre-nuanced annotation guidelines and provide evidence showing their impact on the labeling task.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/5p32e5cyuojn

Authors: Muhammad Abdul-Mageed, Mona Diab

Institutions: Indiana University Bloomington, Indiana University, Columbia University

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2252085349

FWCI: 9.323

Cites: 20

Cited by: 168

Related to: 10