Annotated corpus of mesopotamian-iraqi dialect for sentiment analysis in social media
Research on Sentiment Analysis in social media by using Mesopotamian-Iraqi Dialect (MID) of Arabic language was rarely found, there is no reliable dataset developed in MID neither an annotated corpus for the sentiment analysis of social media in this dialect. Therefore, this gap was the main stumbli...
Saved in:
Main Authors: | Askar, A. K. A. J., Sjarif, N. N. A. |
---|---|
Format: | Article |
Language: | English |
Published: |
Science and Information Organization
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/94324/1/NilamNurAmirSjarif2021_AnnotatedCorpusofMesopotamianIraqiDialect.pdf http://eprints.utm.my/id/eprint/94324/ http://dx.doi.org/10.14569/IJACSA.2021.0120413 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lexicon annotation in sentiment analysis for dialectal Arabic: Systematic review of current trends and future directions
by: Abdullah Hussein Abdullah Al-Amoodi
Published: (2023) -
Development of multilingual social media data corpus for sentiment classification
by: Rumaisa, Fitrah, et al.
Published: (2019) -
Automatic Sentiment Annotation of Idiomatic Expressions for Sentiment Analysis Task
by: Tahayna, B., et al.
Published: (2022) -
A check on annotation in sentiment research
by: Rumaisa, Fitrah, et al.
Published: (2019) -
A novel auto-annotation technique for aspect level sentiment analysis
by: Qureshi, M.A., et al.
Published: (2022)