Conference Paper (published)

SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis

Details

Citation

Guellil I, Adeel A, Azouaou F & Hussain A (2018) SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) 9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 557-567. https://doi.org/10.1007/978-3-030-00563-4_54

Abstract
Data annotation is an important but time-consuming and costly procedure. To sort a text into two classes, the very first thing we need is a good annotation guideline, establishing what is required to qualify for each class. In the literature, the difficulties associated with an appropriate data annotation has been underestimated. In this paper, we present a novel approach to automatically construct an annotated sentiment corpus for Algerian dialect (A Maghrebi Arabic dialect). The construction of this corpus is based on an Algerian sentiment lexicon that is also constructed automatically. The presented work deals with the two widely used scripts on Arabic social media: Arabic and Arabizi. The proposed approach automatically constructs a sentiment corpus containing 8000 messages (where 4000 are dedicated to Arabic and 4000 to Arabizi). The achieved F1-score is up to 72% and 78% for an Arabic and Arabizi test sets, respectively. Ongoing work is aimed at integrating transliteration process for Arabizi messages to further improve the obtained results.

Keywords
Arabic sentiment analysis; Algerian dialect; Sentiment lexicon; Sentiment corpus; Sentiment classification

StatusPublished
FundersEngineering and Physical Sciences Research Council
Title of seriesLecture Notes in Computer Science
Number in series10989
Publication date31/12/2018
Publication date online06/10/2018
PublisherSpringer Verlag
Place of publicationCham, Switzerland
ISSN of series0302-9743
ISBN9783030005627
ConferenceBICS 2018: International Conference on Brain Inspired Cognitive Systems
Conference locationXi'an, China
Dates

People (1)

Dr Ahsan Adeel

Dr Ahsan Adeel

Assoc. Prof. in Artificial Intelligence, Computing Science and Mathematics - Division