{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T08:11:02Z","timestamp":1768205462094,"version":"3.49.0"},"reference-count":27,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T00:00:00Z","timestamp":1764806400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Concurrency and Computation"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>In general, opinion mining indicates the process of evaluating the opinions of people on several topics that are accessible in text form. It is an important aspect of natural language processing as it sets up the effective planning and decision\u2010making for businesses and users. Opinion mining can be performed more effectively and conveniently by initially carrying out subjectivity recognition, which entails recognizing the text as objective or subjective. This research comprises various steps, like preprocessing, feature extraction, data augmentation and opinion mining. The complete procedure was implemented in the Spark framework that utilizes a master\u2013slave framework. The preprocessing step is done with methods, such as stop\u2010word removal, stemming, and lemmatization. Afterwards, feature extraction is done by extracting sentiWordNet features and statistical features that involve capitalized words, exclamation marks, and hashtags. Followed by the data augmentation, the opinion mining phase uses a HAN\u2013HDLTex approach proposed by the combination of HAN and HDLTex architectures. The experimentation is done for the proposed HAN\u2013HDLTex model that shows better accuracy with a rate of 0.949, sensitivity with a rate of 0.969, and specificity with a rate of 0.939.<\/jats:p>","DOI":"10.1002\/cpe.70445","type":"journal-article","created":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T04:36:31Z","timestamp":1764909391000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hybrid Hierarchical Attention Network\u2010Hierarchical Deep Learning for Text Classification in Opinion Mining"],"prefix":"10.1002","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-7947-6119","authenticated-orcid":false,"given":"Tzu\u2010Chia","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence Tamkang University  New Taipei City Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,12,4]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06328-5"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1155\/2023\/8920094"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.26599\/BDMA.2020.9020024"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.3844\/jcssp.2016.153.168"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.18517\/ijaseit.7.5.2137"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3223-4_13"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10639-023-11736-2"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-58867-1"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3008824"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2024.102035"},{"issue":"10","key":"e_1_2_9_12_1","first-page":"1","article-title":"Transformers in Opinion Mining: Addressing Semantic Complexity and Model Challenges in NLP","volume":"4","author":"Du J.","year":"2024","journal-title":"Transactions on Computational and Scientific Methods"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-81-322-2734-2_18"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2013.30"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-018-1095-6"},{"key":"e_1_2_9_16_1","unstructured":"H. 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F.Shehzad \u201cSentiment Analysis of Online Food Reviews Using Big Data Analytics \u201d20 no.2(2021):827\u2013836."},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102435"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-019-00236-3"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.5815\/ijisa.2020.04.03"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.05.008"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-021-03709-4"},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.1336"},{"issue":"2","key":"e_1_2_9_23_1","first-page":"1","article-title":"Evaluation of Stemming and Stop Word Techniques on Text Classification Problem","volume":"3","author":"Sharma D.","year":"2015","journal-title":"International Journal of Scientific Research in Computer Science and Engineering"},{"key":"e_1_2_9_24_1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2293"},{"key":"e_1_2_9_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2017.0-134"},{"key":"e_1_2_9_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"e_1_2_9_27_1","unstructured":"Product Sentiment Analysis 2023 https:\/\/www.kaggle.com\/datasets\/arbazkhan971\/product\u2010sentiment\u2010analysis."},{"key":"e_1_2_9_28_1","doi-asserted-by":"publisher","DOI":"10.3390\/app12073211"}],"container-title":["Concurrency and Computation: Practice and Experience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/cpe.70445","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T04:49:14Z","timestamp":1768193354000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/cpe.70445"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,4]]},"references-count":27,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["10.1002\/cpe.70445"],"URL":"https:\/\/doi.org\/10.1002\/cpe.70445","archive":["Portico"],"relation":{},"ISSN":["1532-0626","1532-0634"],"issn-type":[{"value":"1532-0626","type":"print"},{"value":"1532-0634","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,4]]},"assertion":[{"value":"2025-07-16","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-11-04","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-12-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70445"}}