{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:50:18Z","timestamp":1777704618350,"version":"3.51.4"},"reference-count":16,"publisher":"SAGE Publications","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,4,22]]},"abstract":"<jats:p>Aspect-Based Sentiment Analysis (ABSA) has become a trending research domain due to its ability to transform lives as well as the technical challenges involved in it. In this paper, a unique set of rules has been formulated to extract aspect-opinion phrases. It helps to reduce the average sentence length by 84% and the complexity of the text by 50%. A modified rank-based version of Term-Frequency - Inverse-Document-Frequency (TF-IDF) has been proposed to identify significant aspects. An innovative word representation technique has been applied for aspect categorization which identifies both local as well as global context of a word. For sentiment classification, pre-trained Bidirectional Encoder Representations from Transformers (BERT) has been applied as it helps to capture long-term dependencies and reduce the overhead of training the model from scratch. However, BERT has drawbacks like quadratic drop in efficiency with an increase in sequence length which is limited to 512 tokens. The proposed methodology mitigates these drawbacks of a typical BERT classifier accompanied by a rise in efficiency along with an improvement of 8% in its accuracy. Furthermore, it yields enhanced performance and efficiency compared to other state-of-the-art methods. The assertions have been established through extensive analysis upon movie reviews and Sentihood data-sets.<\/jats:p>","DOI":"10.3233\/jifs-202140","type":"journal-article","created":{"date-parts":[[2021,3,9]],"date-time":"2021-03-09T12:49:17Z","timestamp":1615294157000},"page":"9627-9644","source":"Crossref","is-referenced-by-count":12,"title":["An efficient methodology for aspect-based sentiment analysis using BERT through refined aspect extraction"],"prefix":"10.1177","volume":"40","author":[{"given":"Wazib","family":"Ansar","sequence":"first","affiliation":[{"name":"A. K. Choudhury School of IT, University of Calcutta, Kolkata, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saptarsi","family":"Goswami","sequence":"additional","affiliation":[{"name":"Bangabasi Morning College, University of Calcutta, Kolkata, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amlan","family":"Chakrabarti","sequence":"additional","affiliation":[{"name":"A. K. Choudhury School of IT, University of Calcutta, Kolkata, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Basabi","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"Iwate Prefectural University, Takizawa, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-202140_ref11","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1109\/IJCNN.2000.861302","article-title":"Recurrent nets that time and count","volume":"3","author":"Gers","year":"2000","journal-title":"Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium"},{"key":"10.3233\/JIFS-202140_ref12","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.knosys.2016.06.009","article-title":"Aspect extraction for opinion mining with a deep convolutional neural network","volume":"108","author":"Poria","year":"2016","journal-title":"Knowledge-Based Systems"},{"key":"10.3233\/JIFS-202140_ref13","doi-asserted-by":"crossref","first-page":"e191","DOI":"10.7717\/peerj-cs.191","article-title":"Aspect extraction on user textual reviews using multi-channel convolutional neural network","volume":"5","author":"Da\u2019u","year":"2019","journal-title":"Peer J Computer Science"},{"issue":"7","key":"10.3233\/JIFS-202140_ref14","doi-asserted-by":"crossref","first-page":"1201","DOI":"10.1109\/TASLP.2019.2913094","article-title":"Improving aspect term extraction with bidirectional dependency tree representation","volume":"27","author":"Luo","year":"2019","journal-title":"IEEE\/ACM Transactions on Audio, Speech and Language Processing (TASLP)"},{"key":"10.3233\/JIFS-202140_ref20","unstructured":"Liu B. , Sentiment analysis: Mining opinions, sentiments, and emotions, Cambridge University Press, (2015)."},{"issue":"4","key":"10.3233\/JIFS-202140_ref21","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1016\/j.asej.2014.04.011","article-title":"Sentiment analysis algorithms and applications: A survey","volume":"5","author":"Medhat","year":"2014","journal-title":"Ain Shams Engineering Journal"},{"key":"10.3233\/JIFS-202140_ref23","doi-asserted-by":"crossref","first-page":"742","DOI":"10.1016\/j.dss.2012.05.024","article-title":"Detecting implicit expressions of emotion in text: a comparative analysis","volume":"53","author":"Alexandra","year":"2012","journal-title":"Decis Support Syst"},{"issue":"1","key":"10.3233\/JIFS-202140_ref24","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1186\/s13388-015-0024-x","article-title":"Improved lexicon-based sentiment analysis for social media analytics","volume":"4","author":"Jurek","year":"2015","journal-title":"Security Informatics"},{"key":"10.3233\/JIFS-202140_ref25","doi-asserted-by":"crossref","unstructured":"Aggarwal C.C. and Zhai C.X. , eds. Mining text data, Springer Science & Business Media, (2012).","DOI":"10.1007\/978-1-4614-3223-4"},{"key":"10.3233\/JIFS-202140_ref26","first-page":"17","article-title":"Automatically building a stopword list for an information retrieval system, In","volume":"5","author":"Lo","year":"2005","journal-title":"Journal on Digital Information Management: Special Issue on the 5th Dutch-Belgian Information Retrieval Workshop (DIR)"},{"issue":"2-3","key":"10.3233\/JIFS-202140_ref27","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1080\/00437956.1954.11659520","article-title":"Distributional structure","volume":"10","author":"Harris","year":"1954","journal-title":"Word"},{"issue":"1","key":"10.3233\/JIFS-202140_ref34","doi-asserted-by":"crossref","first-page":"967","DOI":"10.3233\/JIFS-172053","article-title":"A hybrid approach for building a Vietnamese sentiment dictionary","volume":"35","author":"Tran","year":"2018","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"issue":"6","key":"10.3233\/JIFS-202140_ref35","doi-asserted-by":"crossref","first-page":"6025","DOI":"10.3233\/JIFS-169843","article-title":"A fuzzy convolutional neural network for text sentiment analysis","volume":"35","author":"Nguyen","year":"2018","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"issue":"5","key":"10.3233\/JIFS-202140_ref36","doi-asserted-by":"crossref","first-page":"3971","DOI":"10.3233\/JIFS-169958","article-title":"Aspect based sentiment analysis by a linguistically regularized CNN with gated mechanism","volume":"36","author":"Zeng","year":"2019","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"issue":"5","key":"10.3233\/JIFS-202140_ref37","doi-asserted-by":"crossref","first-page":"4721","DOI":"10.3233\/JIFS-179021","article-title":"Aspect-based sentiment analysis of mobile reviews","volume":"36","author":"Gupta","year":"2019","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"issue":"1","key":"10.3233\/JIFS-202140_ref38","doi-asserted-by":"crossref","first-page":"89","DOI":"10.3233\/JIFS-179383","article-title":"Multi-head attention model for aspect level sentiment analysis","volume":"38","author":"Zhang","year":"2020","journal-title":"Journal of Intelligent & Fuzzy Systems"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-202140","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:41:38Z","timestamp":1777455698000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-202140"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,22]]},"references-count":16,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.3233\/jifs-202140","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,22]]}}}