Dataset Creation and Evaluation of Aspect Based Sentiment Analysis in Telugu, a Low Resource Language

Yashwanth Reddy Regatte, Rama Rohit Reddy Gangula, Radhika Mamidi

Abstract
In recent years, sentiment analysis has gained popularity as it is essential to moderate and analyse the information across the internet. It has various applications like opinion mining, social media monitoring, and market research. Aspect Based Sentiment Analysis (ABSA) is an area of sentiment analysis which deals with sentiment at a finer level. ABSA classifies sentiment with respect to each aspect to gain greater insights into the sentiment expressed. Significant contributions have been made in ABSA, but this progress is limited only to a few languages with adequate resources. Telugu lags behind in this area of research despite being one of the most spoken languages in India and an enormous amount of data being created each day. In this paper, we create a reliable resource for aspect based sentiment analysis in Telugu. The data is annotated for three tasks namely Aspect Term Extraction, Aspect Polarity Classification and Aspect Categorisation. Further, we develop baselines for the tasks using deep learning methods demonstrating the reliability and usefulness of the resource.
Anthology ID:
2020.lrec-1.617
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
5017–5024
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.617
DOI:
Bibkey:
Cite (ACL):
Yashwanth Reddy Regatte, Rama Rohit Reddy Gangula, and Radhika Mamidi. 2020. Dataset Creation and Evaluation of Aspect Based Sentiment Analysis in Telugu, a Low Resource Language. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5017–5024, Marseille, France. European Language Resources Association.
Cite (Informal):
Dataset Creation and Evaluation of Aspect Based Sentiment Analysis in Telugu, a Low Resource Language (Regatte et al., LREC 2020)
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