Opinion Mining using TRC Techniques

Nirach Romyen; Sureeporn Nualnim; Maleerat Maliyaem; Pudsadee Boonrawd; Kanchana Viriyapant; Tongpool Heeptaisong

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Paper

Opinion Mining using TRC Techniques

Topics: Classification and Clustering

In Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1, 321-326, 2021

Authors: Nirach Romyen ; Sureeporn Nualnim ; Maleerat Maliyaem ; Pudsadee Boonrawd ; Kanchana Viriyapant and Tongpool Heeptaisong

Affiliation: Information Technology Program, King Mongkut’s University of Technology North Bangkok, 1518 Pracharat 1 Road, Bangkok, Thailand

Keyword(s): Sentiment Analysis, Opinion Mining, Text Representing Centroids, Co-occurrence Graph.

Abstract: Sentiment analysis is a recent research field in Natural Language Processing (NLP). Text mining and computational techniques determine the sentiment discovered from text. This paper proposes a sentiment analysis using the Text-Representing Centroid (TRC). TRC is a method to determine minimum average distance to all words of the respective document, it also deploys a co-occurrence graph to represent existing relationships among terms in a customer’s reviews on particular products and services. A corpus that contains 800 randomly selected hotel reviews from TripAdvisor website is used to evaluate performance by comparison between TRC method and expert’s judgment review. The results show 75% accuracy over Thai customer’s reviews.

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Paper citation in several formats:

Romyen, N.; Nualnim, S.; Maliyaem, M.; Boonrawd, P.; Viriyapant, K. and Heeptaisong, T. (2021). Opinion Mining using TRC Techniques. In Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-486-2; ISSN 2184-4313, SciTePress, pages 321-326. DOI: 10.5220/0010315203210326

@conference{icpram21,
author={Nirach Romyen. and Sureeporn Nualnim. and Maleerat Maliyaem. and Pudsadee Boonrawd. and Kanchana Viriyapant. and Tongpool Heeptaisong.},
title={Opinion Mining using TRC Techniques},
booktitle={Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2021},
pages={321-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010315203210326},
isbn={978-989-758-486-2},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Opinion Mining using TRC Techniques
SN - 978-989-758-486-2
IS - 2184-4313
AU - Romyen, N.
AU - Nualnim, S.
AU - Maliyaem, M.
AU - Boonrawd, P.
AU - Viriyapant, K.
AU - Heeptaisong, T.
PY - 2021
SP - 321
EP - 326
DO - 10.5220/0010315203210326
PB - SciTePress