{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T15:42:49Z","timestamp":1774539769199,"version":"3.50.1"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T00:00:00Z","timestamp":1651708800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T00:00:00Z","timestamp":1651708800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soc. Netw. Anal. Min."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s13278-022-00877-w","type":"journal-article","created":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T13:04:39Z","timestamp":1651755879000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Supervised classifiers with TF-IDF features for sentiment analysis of Marathi tweets"],"prefix":"10.1007","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3632-7788","authenticated-orcid":false,"given":"Rupali S.","family":"Patil","sequence":"first","affiliation":[]},{"given":"Satish R.","family":"Kolhe","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,5]]},"reference":[{"key":"877_CR1","unstructured":"Akhtar Md S, Kumar A, Ekbal A, Bhattacharya P (2016) A Hybrid Deep Learning Architecture for Sentiment Analysis. In: Proceedings of COLING 2016, the international conference on computational linguistics, pp 482\u2013493. https:\/\/www.aclweb.org\/anthology\/C16-1047"},{"issue":"1","key":"877_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13278-014-0181-9","volume":"4","author":"M Anjaria","year":"2014","unstructured":"Anjaria M, Gcuddeti RM (2014) A novel sentiment analysis of social networks using supervised learning. Soc Netw Anal Min 4(1):1. https:\/\/doi.org\/10.1007\/s13278-014-0181-9","journal-title":"Soc Netw Anal Min"},{"key":"877_CR3","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3429694","author":"MA Ansari","year":"2018","unstructured":"Ansari MA, Govilkar S (2018) Sentiment analysis of mixed code for the transliterated Hindi and Marathi texts. SSRN Electron J. https:\/\/doi.org\/10.2139\/ssrn.3429694","journal-title":"SSRN Electron J"},{"key":"877_CR4","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2019.02221","author":"Q Bai","year":"2019","unstructured":"Bai Q, Dan Q, Mu Z, Yang M (2019) A systematic review of emoji: current research and future perspectives. Front Psychol. https:\/\/doi.org\/10.3389\/fpsyg.2019.02221","journal-title":"Front Psychol"},{"key":"877_CR5","unstructured":"Balamurali A, Joshi A, Bhattacharyya P (2012) Cross-lingual sentiment analysis for Indian languages using Linked Wordnets. In: Proceedings of 24th international conference on computational linguistics: posters, pp 73\u201382"},{"key":"877_CR6","unstructured":"Bayes T (1763) An Essay Toward Solving a Problem in the Doctrine of Chances, vol 53. Reprinted in Facsimiles of Two Papers by Bayes, Hafner Publishing, 1963."},{"issue":"3","key":"877_CR7","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1515\/jisys-2017-0398","volume":"28","author":"R Bhargava","year":"2019","unstructured":"Bhargava R, Arora S, Sharma Y (2019) Neural network-based architecture for sentiment analysis in Indian languages. J Intell Syst 28(3):361\u2013375. https:\/\/doi.org\/10.1515\/jisys-2017-0398","journal-title":"J Intell Syst"},{"key":"877_CR8","doi-asserted-by":"publisher","unstructured":"Boser BE, Guyon IM, Vapnik VN (1992) A training algorithm for optimal margin classifiers. In: Proceedings of the 5th annual workshop on computational learning theory - COLT '92. https:\/\/doi.org\/10.1145\/130385.130401","DOI":"10.1145\/130385.130401"},{"issue":"2","key":"877_CR9","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/bf00058655","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman L (1996) Bagging predictors. Mach Learn 24(2):123\u2013140. https:\/\/doi.org\/10.1007\/bf00058655","journal-title":"Mach Learn"},{"issue":"4","key":"877_CR11","first-page":"1","volume":"3","author":"CV Chaudhari","year":"2017","unstructured":"Chaudhari CV, Khaire AV, Rashmi R, Murtadak KS, Sirsulla, (2017) Sentiment Analysis in Marathi using Marathi WordNet. Imperial J Interdiscipl Res (IJIR) 3(4):1","journal-title":"Imperial J Interdiscipl Res (IJIR)"},{"issue":"3","key":"877_CR12","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/bf00994018","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273\u2013297. https:\/\/doi.org\/10.1007\/bf00994018","journal-title":"Mach Learn"},{"key":"877_CR13","doi-asserted-by":"crossref","unstructured":"Fersini E (2017) Sentiment analysis in social networks. Morgan Kaufmann, pp 91\u2013111. ISBN 9780128044124.","DOI":"10.1016\/B978-0-12-804412-4.00006-1"},{"key":"877_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10247-4","author":"S Garc\u00eda","year":"2015","unstructured":"Garc\u00eda S, Luengo J, Herrera F (2015) Data preprocessing in data mining. Intell Syst Ref Lib. https:\/\/doi.org\/10.1007\/978-3-319-10247-4","journal-title":"Intell Syst Ref Lib"},{"key":"877_CR15","first-page":"1","volume":"150","author":"A Go","year":"2009","unstructured":"Go A, Bhayani R, Huang L (2009) Twitter sentiment classification using distant supervision. Processing 150:1","journal-title":"Processing"},{"key":"877_CR16","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.procs.2018.10.466","volume":"142","author":"M Heikal","year":"2018","unstructured":"Heikal M, Torki M, El-Makky N (2018) Sentiment analysis of Arabic tweets using deep learning. Procedia Comput Sci 142:114\u2013122","journal-title":"Procedia Comput Sci"},{"key":"877_CR17","unstructured":"Joshi A, Balamurali A, Bhattacharyya P (2010) A fall-back strategy for sentiment analysis in Hindi: a case study. In: Proceedings of the 8th international conference on natural language processing, pp 1\u20136"},{"key":"877_CR18","unstructured":"Jurafsky D, Martin JH (2014) Speech and language processing. Pearson Prentice Hall"},{"key":"877_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-26832-3_65","author":"A Kumar","year":"2015","unstructured":"Kumar A, Kohail S, Ekbal A, Biemann C (2015a) IIT-TUDA: system for sentiment analysis in indian languages using lexical acquisition. Min Intell Knowl Explor. https:\/\/doi.org\/10.1007\/978-3-319-26832-3_65","journal-title":"Min Intell Knowl Explor"},{"key":"877_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-71928-3_31","author":"SS Kumar","year":"2017","unstructured":"Kumar SS, Kumar MA, Soman KP (2017) Sentiment analysis of tweets in malayalam using long short-term memory units and convolutional neural nets. Min Intell Knowl Explor. https:\/\/doi.org\/10.1007\/978-3-319-71928-3_31","journal-title":"Min Intell Knowl Explor"},{"key":"877_CR21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-26832-3_64","author":"SS Kumar","year":"2015","unstructured":"Kumar SS, Premjith B, Kumar MA, Soman KP (2015b) AMRITA_CEN-NLP@SAIL2015: sentiment analysis in Indian languages using regularized least square approach with randomized feature learning. Min Intell Knowl Explor. https:\/\/doi.org\/10.1007\/978-3-319-26832-3_64","journal-title":"Min Intell Knowl Explor"},{"issue":"1","key":"877_CR22","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/s10479-014-1779-z","volume":"234","author":"Y Liu","year":"2015","unstructured":"Liu Y, Chen Y, Wu S, Peng G, Lv B (2015) Composite leading search index: a preprocessing method of internet search data for stock trends prediction. Ann Oper Res 234(1):77\u201394. https:\/\/doi.org\/10.1007\/s10479-014-1779-z","journal-title":"Ann Oper Res"},{"key":"877_CR23","doi-asserted-by":"crossref","unstructured":"Liu B (2012) Sentiment analysis and opinion mining. Morgan & Claypool","DOI":"10.1007\/978-3-031-02145-9"},{"key":"877_CR24","unstructured":"McCallum A, Nigam KA (1998) Comparison of event models for naive bayes text classification. In: AAAI\/ICML-98 workshop on learning for text categorization, pp 41\u201348"},{"key":"877_CR25","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1016\/j.procs.2016.07.283","volume":"93","author":"D Mishra","year":"2016","unstructured":"Mishra D, Venugopalan M, Gupta D (2016) Context specific Lexicon for Hindi reviews. Procedia Comput Sci 93:554\u2013563. https:\/\/doi.org\/10.1016\/j.procs.2016.07.283","journal-title":"Procedia Comput Sci"},{"key":"877_CR26","doi-asserted-by":"crossref","unstructured":"Mosteller F, Wallace DL (1964) Inference and disputed authorship: the federalist. 1984 2nd ed: Applied Bayesian and Classical Inference. Springer","DOI":"10.1007\/978-1-4612-5256-6"},{"key":"877_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-0507-9_37","author":"RS Patil","year":"2021","unstructured":"Patil RS, Kolhe SR (2021) Resource Creation for Sentiment Analysis of Under-Resourced Language: Marathi. Commun Comput Inf Sci. https:\/\/doi.org\/10.1007\/978-981-16-0507-9_37","journal-title":"Commun Comput Inf Sci"},{"key":"877_CR28","first-page":"1","volume":"3","author":"J Platt","year":"1999","unstructured":"Platt J (1999) Fast training of support vector machines using sequential minimal optimization. Adv Kernel Methods Supp Vect Learn 3:1","journal-title":"Adv Kernel Methods Supp Vect Learn"},{"key":"877_CR29","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-0936-0_32","author":"A Rajan","year":"2020","unstructured":"Rajan A, Salgaonkar A (2020) Sentiment analysis for Konkani Language: Konkani poetry, a case study. Adv Intell Syst Comput. https:\/\/doi.org\/10.1007\/978-981-15-0936-0_32","journal-title":"Adv Intell Syst Comput"},{"key":"877_CR30","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-018-9670-y","author":"S Rani","year":"2018","unstructured":"Rani S, Kumar P (2018) A journey of Indian languages over sentiment analysis: a systematic review. Artif Intell Rev. https:\/\/doi.org\/10.1007\/s10462-018-9670-y","journal-title":"Artif Intell Rev"},{"key":"877_CR31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93940-7_16","author":"S Sachin Kumar","year":"2018","unstructured":"Sachin Kumar S, Anand Kumar M, Soman KP (2018) Identifying sentiment of Malayalam tweets using deep learning. Digital Bus. https:\/\/doi.org\/10.1007\/978-3-319-93940-7_16","journal-title":"Digital Bus"},{"issue":"2\u20134","key":"877_CR32","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/s40012-016-0117-9","volume":"4","author":"SK Sahu","year":"2016","unstructured":"Sahu SK, Behera P, Mohapatra DP, Balabantaray RC (2016) Sentiment analysis for Odia language using supervised classifier: an information retrieval in Indian language initiative. CSI Trans ICT 4(2\u20134):111\u2013115. https:\/\/doi.org\/10.1007\/s40012-016-0117-9","journal-title":"CSI Trans ICT"},{"issue":"5","key":"877_CR33","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1016\/0306-4573(88)90021-0","volume":"24","author":"G Salton","year":"1988","unstructured":"Salton G, Buckley C (1988) Term-weighting approaches in automatic text retrieval. Inf Process Manag 24(5):513\u2013523","journal-title":"Inf Process Manag"},{"issue":"1","key":"877_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s12046-020-01424-z","volume":"45","author":"K Sarkar","year":"2020","unstructured":"Sarkar K (2020) Heterogeneous classifier ensemble for sentiment analysis of Bengali and Hindi tweets. S\u0101dhan\u0101 45(1):1. https:\/\/doi.org\/10.1007\/s12046-020-01424-z","journal-title":"S\u0101dhan\u0101"},{"key":"877_CR35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-26832-3_66","author":"K Sarkar","year":"2015","unstructured":"Sarkar K, Chakraborty S (2015) A sentiment analysis system for Indian language tweets. Min Intell Knowl Explor. https:\/\/doi.org\/10.1007\/978-3-319-26832-3_66","journal-title":"Min Intell Knowl Explor"},{"key":"877_CR36","doi-asserted-by":"publisher","unstructured":"Sarkar K (2018) Using character N-gram features and multinomial Na\u00efve Bayes for sentiment polarity detection in Bengali tweets. In: 2018 Fifth International conference on emerging applications of information technology (EAIT). https:\/\/doi.org\/10.1109\/eait.2018.8470415","DOI":"10.1109\/eait.2018.8470415"},{"key":"877_CR37","doi-asserted-by":"publisher","unstructured":"Sarkar K (2019) Sentiment polarity detection in bengali tweets using LSTM recurrent neural networks. In: 2nd International conference on advanced computational and communication paradigms (ICACCP). https:\/\/doi.org\/10.1109\/icaccp.2019.8883010","DOI":"10.1109\/icaccp.2019.8883010"},{"key":"877_CR38","doi-asserted-by":"publisher","unstructured":"Sarkar K, Bhowmick M (2017) Sentiment polarity detection in Bengali tweets using multinomial Na\u00efve Bayes and support vector machines. In: 2017 IEEE Calcutta Conference (CALCON). pp. 31\u201336, https:\/\/doi.org\/10.1109\/calcon.2017.8280690","DOI":"10.1109\/calcon.2017.8280690"},{"key":"877_CR39","doi-asserted-by":"publisher","unstructured":"Shalini K, Ravikurnar A, Reddy A, Soman KP. (2018) Sentiment Analysis of Indian Languages using Convolutional Neural Networks. In: 2018 International Conference on Computer Communication and Informatics (ICCCI). https:\/\/doi.org\/10.1109\/iccci.2018.8441371","DOI":"10.1109\/iccci.2018.8441371"},{"key":"877_CR40","doi-asserted-by":"publisher","unstructured":"Sharma P, Moh TS (2016) Prediction of Indian election using sentiment analysis on Hindi Twitter. In: IEEE International Conference on Big Data (Big Data). https:\/\/doi.org\/10.1109\/bigdata.2016.7840818","DOI":"10.1109\/bigdata.2016.7840818"},{"issue":"4","key":"877_CR41","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1016\/j.icte.2020.04.003","volume":"6","author":"S Soumya","year":"2020","unstructured":"Soumya S, Pramod KV (2020) Sentiment analysis of Malayalam tweets using machine learning techniques. ICT Express 6(4):300\u2013305. https:\/\/doi.org\/10.1016\/j.icte.2020.04.003","journal-title":"ICT Express"},{"key":"877_CR42","doi-asserted-by":"publisher","unstructured":"Tin KH (1995) Random decision forests. In: Proceedings of 3rd international conference on document analysis and recognition. https:\/\/doi.org\/10.1109\/icdar.1995.598994","DOI":"10.1109\/icdar.1995.598994"},{"key":"877_CR43","unstructured":"Ujaley M (2018) Indian languages are storming the Internet in India, 9 out of 10 new users to be an Indian language user. Express Comput. https:\/\/www.expresscomputer.in\/news\/indian-languages-are-storming-the-internet-in-india-9-out-of-10-new-users-to-be-an-indian-language-user\/21282\/"},{"issue":"10","key":"877_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pmed.0020267","volume":"2","author":"J Van den Broeck","year":"2005","unstructured":"Van den Broeck J, Argeseanu Cunningham S, Eeckels R, Herbst K (2005) Data cleaning: detecting, diagnosing, and editing data abnormalities. PLoS Med 2(10):1. https:\/\/doi.org\/10.1371\/journal.pmed.0020267","journal-title":"PLoS Med"}],"container-title":["Social Network Analysis and Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13278-022-00877-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13278-022-00877-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13278-022-00877-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T13:59:21Z","timestamp":1672667961000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13278-022-00877-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,5]]},"references-count":43,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["877"],"URL":"https:\/\/doi.org\/10.1007\/s13278-022-00877-w","relation":{},"ISSN":["1869-5450","1869-5469"],"issn-type":[{"value":"1869-5450","type":"print"},{"value":"1869-5469","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,5]]},"assertion":[{"value":"24 April 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 March 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 April 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 May 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"51"}}