Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)

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O2S-SKE: Encoder-Decoder Model for Suggestion Key Phrase Extraction

Authors
Naveen Kumar Laskari1, *, Suresh Kumar S2
1JNT University, Hyderabad, Telangana, India
2JNTUH College of Engineering, Hyderabad, Telangana, India
*Corresponding author. Email: naveen.laskari@gmail.com
Corresponding Author
Naveen Kumar Laskari
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-252-1_41How to use a DOI?
Keywords
Suggestion; Key phrase; Embedding; Rule-Based Model
Abstract

Suggestion Mining refers to extracting suggestions from the opinionated text. It is a lately identified topic of interest by academia and industry. The pioneering research focused on various methods and approaches to classify opinion reviews into suggestion or non-suggestion classes. However, the methodologies in the literature missed the fine-grained analysis, such as the extraction of key phrases denoting the suggestion in an opinion review. In this paper, we present our experiments to implement a system to extract the key phrases from opinion reviews indicating suggestions. The methodology adopted includes the state-of-the-art sequence-to-sequence transformer-based models and rule-based systems followed by an ensemble approach to extract the familiar phrase from the above two methods. The performance of the hybrid model has been evaluated using variants of the ROUGE metric. To our knowledge, our hybrid approach is reasonably performing well.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
978-94-6463-252-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-252-1_41How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Naveen Kumar Laskari
AU  - Suresh Kumar S
PY  - 2023
DA  - 2023/11/09
TI  - O2S-SKE: Encoder-Decoder Model for Suggestion Key Phrase Extraction
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 370
EP  - 377
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_41
DO  - 10.2991/978-94-6463-252-1_41
ID  - Laskari2023
ER  -