{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T20:41:17Z","timestamp":1775421677868,"version":"3.50.1"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2021,2,3]],"date-time":"2021-02-03T00:00:00Z","timestamp":1612310400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,2,3]],"date-time":"2021-02-03T00:00:00Z","timestamp":1612310400000},"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":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1007\/s11042-020-10323-8","type":"journal-article","created":{"date-parts":[[2021,2,3]],"date-time":"2021-02-03T07:03:26Z","timestamp":1612335806000},"page":"15391-15412","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Joint evaluation of preprocessing tasks with classifiers for sentiment analysis in Brazilian Portuguese language"],"prefix":"10.1007","volume":"80","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0698-1845","authenticated-orcid":false,"given":"Douglas Nunes","family":"de Oliveira","sequence":"first","affiliation":[]},{"given":"Luiz Henrique de Campos","family":"Merschmann","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,2,3]]},"reference":[{"issue":"3","key":"10323_CR1","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1007\/s10588-018-9266-8","volume":"25","author":"S Alam","year":"2019","unstructured":"Alam S, Yao N (2019) The impact of preprocessing steps on the accuracy of machine learning algorithms in sentiment analysis. Comput Math Organ Theory 25(3):319\u2013335. https:\/\/doi.org\/10.1007\/s10588-018-9266-8","journal-title":"Comput Math Organ Theory"},{"key":"10323_CR2","doi-asserted-by":"crossref","unstructured":"Almeida TG, Souza BA, Menezes AAF, Figueiredo CMS, Nakamura EF (2016) Sentiment analysis of portuguese comments from foursquare. In: Proceedings of the brazilian symposium on multimedia and the web. ACM, Teresinha-PI, pp 355\u2013358","DOI":"10.1145\/2976796.2988180"},{"key":"10323_CR3","doi-asserted-by":"crossref","unstructured":"Araujo M, Reis J, Pereira A, Benevenuto F (2016) An evaluation of machine translation for multilingual sentence-level sentiment analysis. In: Proceedings of the annual ACM symposium on applied computing. ACM, Pisa, pp 1140\u20131145","DOI":"10.1145\/2851613.2851817"},{"key":"10323_CR4","volume-title":"Natural language processing with Python","author":"S Bird","year":"2009","unstructured":"Bird S, Klein E, Loper E (2009) Natural language processing with Python, 1st edn. O\u2019Reilly Media, Inc., Sebastopol","edition":"1st edn"},{"key":"10323_CR5","unstructured":"Camacho-Collados J, P, MT On the role of text preprocessing in neural network architectures: An evaluation study on text categorization and sentiment analysis. CoRR (2017). arXiv 1707.01780"},{"key":"10323_CR6","unstructured":"Cirqueira D Jr, AFLJ, Lobato FMF, de Santana \u00c1L, Pinheiro M (2016) Performance evaluation of sentiment analysis methods for brazilian portuguese. In: Abramowicz W, Alt R, Franczyk B (eds) Business information systems workshops - BIS 2016 international workshops, Leipzig, Germany, July 6-8, 2016, Revised Papers, Lecture notes in business information processing, vol 263. Springer, pp 245\u2013251"},{"issue":"4","key":"10323_CR7","doi-asserted-by":"publisher","first-page":"772","DOI":"10.1007\/s12559-016-9421-9","volume":"8","author":"K Dashtipour","year":"2016","unstructured":"Dashtipour K, Poria S, Hussain A, Cambria E, Hawalah AYA, Gelbukh AF, Zhou Q (2016) Erratum to: Multilingual sentiment analysis: State of the art and independent comparison of techniques. Cogn Comput 8(4):772\u2013775","journal-title":"Cogn Comput"},{"issue":"4","key":"10323_CR8","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1007\/s12559-016-9415-7","volume":"8","author":"K Dashtipour","year":"2016","unstructured":"Dashtipour K, Poria S, Hussain A, Cambria E, Hawalah AYA, Gelbukh AF, Zhou Q (2016) Multilingual sentiment analysis: State of the art and independent comparison of techniques. Cogn Comput 8(4):757\u2013771","journal-title":"Cogn Comput"},{"issue":"4","key":"10323_CR9","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1145\/2436256.2436274","volume":"56","author":"R Feldman","year":"2013","unstructured":"Feldman R (2013) Techniques and applications for sentiment analysis. Commun ACM 56(4):82","journal-title":"Commun ACM"},{"key":"10323_CR10","unstructured":"Ferreira RS (2017) An\u00e1lise de sentimentos \u2013 aprenda de uma vez por todas como funciona utilizando dados do twitter. http:\/\/minerandodados.com.br\/index.php\/2017\/03\/15\/analise-de-sentimentos-twitter-como-fazer\/. (visited on 27\/03\/2019)"},{"key":"10323_CR11","unstructured":"Fonseca ER, Rosa JLG (2013) Mac-morpho revisited: towards robust part-of-speech tagging. In: Proceedings of the Brazilian symposium in information and human language technology. SBC, Fortaleza-CE, pp 98\u2013107"},{"key":"10323_CR12","unstructured":"Freitas LA, Viera R (2015) Feature-level sentiment analysis applied to brazilian portuguese reviews. Ph.D. thesis, PUC-RS"},{"key":"10323_CR13","doi-asserted-by":"publisher","unstructured":"Ghosh M, Sanyal G (2016) Preprocessing and feature selection approach for efficient sentiment analysis on product reviews. In: Satapathy SC, Bhateja V, Udgata SK, Pattnaik PK (eds) Proceedings of the 5th international conference on frontiers in intelligent computing: Theory and applications - FICTA 2016, Bhubaneswar, Odisa, India, Volume 1, advances in intelligent systems and computing, vol 515. Springer, pp 721\u2013730, DOI https:\/\/doi.org\/10.1007\/978-981-10-3153-3_72","DOI":"10.1007\/978-981-10-3153-3_72"},{"issue":"7","key":"10323_CR14","doi-asserted-by":"publisher","first-page":"3467","DOI":"10.1109\/TLA.2016.7587656","volume":"14","author":"P Grandin","year":"2016","unstructured":"Grandin P, Adan JM (2016) Piegas: a systems for sentiment analysis of tweets in portuguese. IEEE Lat Am Trans 14(7):3467\u20133473","journal-title":"IEEE Lat Am Trans"},{"key":"10323_CR15","unstructured":"Guimar\u00e3es RG, Rodr\u00edguez DZ, Rosa RL (2017) Aprimoramento da an\u00e1lise de sentimentos em redes sociais utilizando an\u00e1lise l\u00e9xica e perfil de usu\u00e1rio. Master\u2019s thesis UFLA"},{"key":"10323_CR16","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.procs.2013.05.005","volume":"17","author":"E Haddi","year":"2013","unstructured":"Haddi E, Liu X, Shi Y (2013) The role of text pre-processing in sentiment analysis. Procedia Comput Sci 17:26\u201332","journal-title":"Procedia Comput Sci"},{"key":"10323_CR17","doi-asserted-by":"crossref","unstructured":"Martins RF, Pereira ACM, Benevenuto F (2015) An approach to sentiment analysis of web applications in portuguese. In: Proceedings of the Brazilian symposium on multimedia and the web. ACM, Manaus-AM, pp 105\u2013112","DOI":"10.1145\/2820426.2820446"},{"key":"10323_CR18","unstructured":"McNair C, Johnson M, Liu C, Peart M (2017) Worldwide social network users: eMarketer\u2019s estimates and forecast for 2016\u20132021. Tech. rep. eMarketer"},{"key":"10323_CR19","unstructured":"Narr S, Hulfenhaus M, Albayrak S (2012) Language-independent twitter sentiment analysis. In: KDML, LWA. Dortmund, Germany, pp 12\u201314"},{"key":"10323_CR20","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V, Vanderplas J, Passos A, Cournapeau D, Brucher M, Perrot M, Duchesnay E (2011) Scikit-learn: Machine learning in python. J Mach Learn Res 12:2825\u20132830","journal-title":"J Mach Learn Res"},{"key":"10323_CR21","doi-asserted-by":"publisher","unstructured":"Pereira DA (2020) A survey of sentiment analysis in the portuguese language. Artif Intell Rev https:\/\/doi.org\/10.1007\/s10462-020-09870-1","DOI":"10.1007\/s10462-020-09870-1"},{"key":"10323_CR22","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.knosys.2015.06.015","volume":"89","author":"K Ravi","year":"2015","unstructured":"Ravi K, Ravi V (2015) A survey on opinion mining and sentiment analysis: Tasks, approaches and applications. Knowl-Based Syst 89:14\u201346","journal-title":"Knowl-Based Syst"},{"issue":"1","key":"10323_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1140\/epjds\/s13688-016-0085-1","volume":"5","author":"FN Ribeiro","year":"2016","unstructured":"Ribeiro FN, Ara\u00fajo M, Gon\u00e7alves P, Andr\u00e9 gon\u00e7alves M, Benevenuto F (2016) SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods. EPJ Data Sci 5(1):1\u201329","journal-title":"EPJ Data Sci"},{"key":"10323_CR24","unstructured":"Santos FL, Ladeira M (2014) The role of text pre-processing in opinion mining on a social media language dataset. In: Brazilian conference on intelligent systems. IEEE, S\u00e3o Paulo-SP, pp 50\u201354"},{"key":"10323_CR25","doi-asserted-by":"crossref","unstructured":"Silva IS, Gomide J, Veloso A Jr, WM, Ferreira R (2011) Effective sentiment stream analysis with self-augmenting training and demand-driven projection. In: Proceeding of the 34th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2011. ACM, Beijing, pp 475\u2013484","DOI":"10.1145\/2009916.2009981"},{"key":"10323_CR26","unstructured":"Simons GF, Fennig CD (eds) (2018) Ethnologue: languages of the world, 21st edn. SIL International, Dallas"},{"key":"10323_CR27","unstructured":"Souza B\u00c1, Almeida TG, Menezes AA, Figueiredo CM, Nakamura FG, Nakamura EF (2017) Uma abordagem para detec\u00e7\u00e3o de t\u00f3picos relevantes em redes sociais online. In: Proceedings of the Brazilian workshop on social network analysis and mining. SBC, S\u00e3o Paulo-SP, pp 555\u2013566"},{"issue":"2","key":"10323_CR28","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1049\/iet-sen.2016.0226","volume":"12","author":"E Souza","year":"2018","unstructured":"Souza E, Costa D, Castro D, Vit\u00f3rio D, Teles I, Almeida R, Alves T, Oliveira AL., Gusm\u00e3o C (2018) Characterising text mining: a systematic mapping review of the portuguese language. IET Softw 12(2):49\u201375","journal-title":"IET Softw"},{"key":"10323_CR29","doi-asserted-by":"crossref","unstructured":"Souza E, Vit\u00f3rio D, Castro D, Oliveira ALI, Gusm\u00e3o C (2016) Characterizing opinion mining: a systematic mapping study of the portuguese language. In: Computational processing of the portuguese language - 12th international conference, PROPOR, Lecture Notes in Computer Science, vol 9727. Springer, Tomar, pp 122\u2013127","DOI":"10.1007\/978-3-319-41552-9_12"},{"key":"10323_CR30","unstructured":"Stiilpen Jr. M, Merschmann LHC (2016) A methodology to handle social media posts in brazilian portuguese for text mining applications. In: Proceedings of the brazilian symposium on multimedia and the web. ACM, Teresina-PI, pp 239\u2013246"},{"issue":"1","key":"10323_CR31","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.ipm.2013.08.006","volume":"50","author":"AK Uysal","year":"2014","unstructured":"Uysal AK, Gunal S (2014) The impact of preprocessing on text classification. Inf Process Manag 50(1):104\u2013112","journal-title":"Inf Process Manag"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-10323-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-020-10323-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-10323-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T06:21:32Z","timestamp":1619504492000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-020-10323-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,3]]},"references-count":31,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2021,4]]}},"alternative-id":["10323"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-10323-8","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,3]]},"assertion":[{"value":"21 February 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 September 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 December 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}