{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T05:44:59Z","timestamp":1782625499061,"version":"3.54.5"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,8,5]],"date-time":"2021-08-05T00:00:00Z","timestamp":1628121600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,8,5]],"date-time":"2021-08-05T00:00:00Z","timestamp":1628121600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Data Sci Anal"],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1007\/s41060-021-00277-x","type":"journal-article","created":{"date-parts":[[2021,8,5]],"date-time":"2021-08-05T16:03:45Z","timestamp":1628179425000},"page":"355-367","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":56,"title":["Aspect-based sentiment analysis of mobile phone reviews using LSTM and fuzzy logic"],"prefix":"10.1007","volume":"12","author":[{"given":"M.","family":"Sivakumar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6478-3839","authenticated-orcid":false,"given":"Srinivasulu Reddy","family":"Uyyala","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,8,5]]},"reference":[{"key":"277_CR1","doi-asserted-by":"crossref","unstructured":"Pranjal, S.: Bogawar: soft computing approaches to classification of emails for sentiment analysis. In: ICIA-16: Proceedings of the International Conference on Informatics and Analytics, pp. 1\u20137 (2016)","DOI":"10.1145\/2980258.2980304"},{"key":"277_CR2","unstructured":"Karen, H.: Applying fuzzy logic for sentiment analysis of social media network data in marketing. In: 9th International Conference on Theory and Application of Soft Computing, Computing with Words and Perception, ICSCCW 2017, pp. 24\u201325 (2017)"},{"key":"277_CR3","doi-asserted-by":"crossref","unstructured":"Tai, K.S., Socher, R., Manning, C.D.: Improved semantic representations from tree-structured long short-term memory networks. In: International Joint Conference on Natural Language Processing, vol. 1, pp. 1556\u20131566 (2015)","DOI":"10.3115\/v1\/P15-1150"},{"key":"277_CR4","doi-asserted-by":"crossref","unstructured":"Ouyang, X., Zhou, P., Li, C.H., Liu, L.: Sentiment analysis using convolutional neural network. In: IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, pp. 2359\u20132364 (2015)","DOI":"10.1109\/CIT\/IUCC\/DASC\/PICOM.2015.349"},{"key":"277_CR5","doi-asserted-by":"crossref","unstructured":"Karen, H., Ahmet E.: Applying fuzzy logic for sentiment analysis of social media net-work data in marketing. In: International Conference on Theory and Application of Soft Computing, Computing with Words and Perception, pp. 664\u2013670 (2017)","DOI":"10.1016\/j.procs.2017.11.293"},{"key":"277_CR6","doi-asserted-by":"publisher","first-page":"20625","DOI":"10.1109\/ACCESS.2018.2820025","volume":"6","author":"Y Fang","year":"2018","unstructured":"Fang, Y., Tan, H., Zhang, J.: Multi-strategy sentiment analysis of consumer reviews based on semantic fuzziness. IEEE Access 6, 20625\u201320631 (2018)","journal-title":"IEEE Access"},{"key":"277_CR7","doi-asserted-by":"publisher","first-page":"71884","DOI":"10.1109\/ACCESS.2018.2878425","volume":"6","author":"X Fu","year":"2018","unstructured":"Fu, X., Yang, J., Li, J., Fang, M., Wang, H.: Lexicon-enhanced LSTM with attention for general sentiment analysis. IEEE Access 6, 71884\u201371891 (2018)","journal-title":"IEEE Access"},{"key":"277_CR8","unstructured":"Can, E.F., Ezen-Can, A., Can, F.: Multilingual sentiment analysis: an RNN-based framework for limited data. In: ACM SIGIR 2018 Workshop on Learning from Limited or Noisy Data, vol. abs\/1806.04511 (2018)"},{"key":"277_CR9","doi-asserted-by":"crossref","unstructured":"Aziz, A., Starkey, A.: Predicting supervise machine learning performances for sentiment analysis using contextual-based approaches. In: IEEE Access, vol. 8, pp. 17722\u201317733 (2020)","DOI":"10.1109\/ACCESS.2019.2958702"},{"key":"277_CR10","doi-asserted-by":"publisher","first-page":"37014","DOI":"10.1109\/ACCESS.2020.2973711","volume":"8","author":"Y Dong","year":"2020","unstructured":"Dong, Y., Fu, Y., Wang, L., Chen, Y., Dong, Y., Li, J.: A sentiment analysis method of capsule network based on BiLSTM. IEEE Access 8, 37014\u201337020 (2020)","journal-title":"IEEE Access"},{"key":"277_CR11","doi-asserted-by":"publisher","first-page":"37967","DOI":"10.1109\/ACCESS.2020.2975244","volume":"8","author":"E Zuo","year":"2020","unstructured":"Zuo, E., Zhao, H., Chen, B., Chen, Q.: Context-specific heterogeneous graph convolutional net-work for implicit sentiment analysis. IEEE Access 8, 37967\u201337975 (2020)","journal-title":"IEEE Access"},{"issue":"1","key":"277_CR12","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1109\/TCSS.2019.2951326","volume":"7","author":"ME Basiri","year":"2020","unstructured":"Basiri, M.E., et al.: Improving sentiment polarity detection through target identification. IEEE Trans. Comput. Soc. Syst. 7(1), 113\u2013128 (2020)","journal-title":"IEEE Trans. Comput. Soc. Syst."},{"key":"277_CR13","doi-asserted-by":"publisher","first-page":"31034","DOI":"10.1109\/ACCESS.2020.2973587","volume":"8","author":"M Shams","year":"2020","unstructured":"Shams, M., Khoshavi, N., Baraani-Dastjerdi, A.: LISA: language-independent method for aspect-based sentiment analysis. IEEE Access 8, 31034\u201331044 (2020)","journal-title":"IEEE Access"},{"key":"277_CR14","doi-asserted-by":"crossref","unstructured":"Del Corro, L., Gemulla, R.: ClausIE: clause-based open information extraction. In: Proceedings of the 22nd international conference on World Wide Web, pp. 355\u2013366 (2013)","DOI":"10.1145\/2488388.2488420"},{"issue":"3","key":"277_CR15","doi-asserted-by":"publisher","first-page":"195","DOI":"10.26599\/BDMA.2021.9020003","volume":"4","author":"Y Bie","year":"2021","unstructured":"Bie, Y., Yang, Y.: A multitask multiview neural network for end-to-end aspect-based sentiment analysis. Big Data Min. Anal. 4(3), 195\u2013207 (2021)","journal-title":"Big Data Min. Anal."},{"key":"277_CR16","doi-asserted-by":"crossref","unstructured":"Dzisevi\u010d, R., \u0160e\u0161ok, D.: Text classification using different feature extraction approaches. In: Open Conference of Electrical, Electronic and Information Sciences (eStream), pp. 1\u20134 (2019)","DOI":"10.1109\/eStream.2019.8732167"},{"key":"277_CR17","doi-asserted-by":"crossref","unstructured":"Zhang, W., Xu, W., Chen, G., Guo, J: A feature extraction method based on word embedding for word similarity computing. In: NLPCC 2014, CCIS 496, pp. 160\u2013167 (2014)","DOI":"10.1007\/978-3-662-45924-9_15"},{"key":"277_CR18","doi-asserted-by":"publisher","first-page":"69938","DOI":"10.1109\/ACCESS.2021.3078114","volume":"9","author":"W Ali","year":"2021","unstructured":"Ali, W., Yang, Y., Qiu, X., Ke, Y., Wang, Y.: Aspect-level sentiment analysis based on bidirectional-GRU in SIoT. IEEE Access 9, 69938\u201369950 (2021)","journal-title":"IEEE Access"},{"key":"277_CR19","unstructured":"https:\/\/www.kaggle.com\/grikomsn\/amazon-cell-phones-reviews"},{"key":"277_CR20","unstructured":"https:\/\/jmcauley.ucsd.edu\/data\/amazon\/"},{"key":"277_CR21","unstructured":"https:\/\/www.kaggle.com\/datafiniti\/consumer-reviews-of-amazon-products"}],"container-title":["International Journal of Data Science and Analytics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-021-00277-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s41060-021-00277-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-021-00277-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T10:10:34Z","timestamp":1632219034000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s41060-021-00277-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,5]]},"references-count":21,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,10]]}},"alternative-id":["277"],"URL":"https:\/\/doi.org\/10.1007\/s41060-021-00277-x","relation":{},"ISSN":["2364-415X","2364-4168"],"issn-type":[{"value":"2364-415X","type":"print"},{"value":"2364-4168","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,5]]},"assertion":[{"value":"31 March 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 July 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 August 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}