Inproceedings
Book title :
Proceedings of Sixth International Congress on Information and Communication Technology
Séries :
Lecture Notes in Networks and Systems (LNNS)
Editeurs : Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi
Adresse :
Singapore
ISBN : 978-981-16-2377-6
Publisher :
Informations
Période : February 2021
Volume : 235
Pages : 973-982
Détails
Linking the Linguistic Resources Using Graph Structure for Multilingual Sentiment Analysis
Sentiment Analysis aims to analyse a large amount of data to infer and deduce the different opinions expressed therein. It would be interesting to link several linguistic resources and tools to combine their advantages and obtain a result as close as possible to reality. Moreover, creating a new lexicon either manually or automatically is time-consuming and needs considerable efforts. This paper proposes a new approach to build a polar lexicon by using the existing resources to generate a rich and time-saving one. Nevertheless, not all linguistic resources have the same structure. It is then challenging to use them together at once. We propose to map the resources into the graph structure, where the nodes represent the words, and the edges represent the relations between the nodes, thus the words. The obtained results are promising, F1-measure was 0.82 for the English language, and accuracy ranged from 0.76 to 0.98 for all other languages used in the experiment.
Mots clés :
Sentiment analysis Linguistic resources Relationship Multilingual Lexicon-based approach Graph-based
Réf. de citation :
misc-lab-362
DOI :
https://doi.org/10.1007/978-981-16-2377-6_88
Lien :
Texte intégral
ACM :
M. R. Kanfoud and A. Bouramoul. 2021. Linking the Linguistic Resources Using Graph Structure for Multilingual Sentiment Analysis. In Proceedings of the Proceedings of Sixth International Congress on Information and Communication Technology, Singapore. Lecture Notes in Networks and Systems (LNNS), Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi, Ed., 235 (February 2021), Springer Singapore, 973-982. DOI: https://doi.org/https://doi.org/10.1007/978-981-16-2377-6_88.
APA :
Kanfoud, M. R. & Bouramoul, A. (2021, February). Linking the Linguistic Resources Using Graph Structure for Multilingual Sentiment Analysis. In Proceedings of the Proceedings of Sixth International Congress on Information and Communication Technology, Singapore. In Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi (Ed.). Lecture Notes in Networks and Systems (LNNS), 235, Springer Singapore, 973-982. DOI: https://doi.org/https://doi.org/10.1007/978-981-16-2377-6_88
IEEE :
M. R. Kanfoud and A. Bouramoul, "Linking the Linguistic Resources Using Graph Structure for Multilingual Sentiment Analysis". In Proceedings of the Proceedings of Sixth International Congress on Information and Communication Technology, Singapore. Lecture Notes in Networks and Systems (LNNS), vol. 235, Springer Singapore, pp. 973-982, February, 2021. DOI: https://doi.org/https://doi.org/10.1007/978-981-16-2377-6_88.
BibTeX :
@inproceedings{misc-lab-362,
author = {Kanfoud, Mohamed Raouf and Bouramoul, Abdelkrim},
title = {Linking the Linguistic Resources Using Graph Structure for Multilingual Sentiment Analysis},
volume = {235},
booktitle = {Proceedings of Sixth International Congress on Information and Communication Technology},
series = {Lecture Notes in Networks and Systems (LNNS)},
location = {Singapore},
isbn = {978-981-16-2377-6},
pages = {973--982},
editor = {Yang, Xin-She and Sherratt, Simon and Dey, Nilanjan and Joshi, Amit},
publisher = {Springer Singapore},
year = {2021},
month = {February},
doi = {https://doi.org/10.1007/978-981-16-2377-6\_88},
url = {https://link.springer.com/chapter/10.1007/978-981-16-2377-6\_88},
keywords = {Sentiment analysis, Linguistic resources, Relationship, Multilingual, Lexicon-based approach, Graph-based}
}
RIS :
TY  - CONF
TI - Linking the Linguistic Resources Using Graph Structure for Multilingual Sentiment Analysis
AU - M. R. Kanfoud
AU - A. Bouramoul
PY - 2021
VL - 235
BT - Proceedings of Sixth International Congress on Information and Communication Technology, Singapore
SN - 978-981-16-2377-6
SP - 973
EP - 982
ED - X.-S. Yang
ED - S. Sherratt
ED - N. Dey
ED - A. Joshi
PB - Springer Singapore
AB - Sentiment Analysis aims to analyse a large amount of data to infer and deduce the different opinions expressed therein. It would be interesting to link several linguistic resources and tools to combine their advantages and obtain a result as close as possible to reality. Moreover, creating a new lexicon either manually or automatically is time-consuming and needs considerable efforts. This paper proposes a new approach to build a polar lexicon by using the existing resources to generate a rich and time-saving one. Nevertheless, not all linguistic resources have the same structure. It is then challenging to use them together at once. We propose to map the resources into the graph structure, where the nodes represent the words, and the edges represent the relations between the nodes, thus the words. The obtained results are promising, F1-measure was 0.82 for the English language, and accuracy ranged from 0.76 to 0.98 for all other languages used in the experiment.
KW - Sentiment analysis
KW - Linguistic resources
KW - Relationship
KW - Multilingual
KW - Lexicon-based approach
KW - Graph-based
DO - https://doi.org/10.1007/978-981-16-2377-6_88
UR - https://link.springer.com/chapter/10.1007/978-981-16-2377-6_88
ID - misc-lab-362
ER -