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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 COVID-19 and cyberbullying: deep ensemble model to identify cyberbullying from code-switched languages during the pandemic Paul, Sayanta; Saha, Sriparna; Singh, Jyoti Prakash In: Multimed Tools Appl (2022) BASE Show details 2 Incorporating deep visual features into multiobjective based multi-view search results clustering Mitra, Sayantan; Hasanuzzaman, Mohammed; Saha, Sriparna... In: Mitra, Sayantan, Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Saha, Sriparna and Way, Andy orcid:0000-0001-5736-5930 (2018) Incorporating deep visual features into multiobjective based multi-view search results clustering. In: 27th International Conference on Computational Linguistics, 20-26 Aug 2018, Santa Fe, NM, USA. (2018) BASE Show details 3 Temporal orientation of tweets for predicting income of users Saha, Sriparna; Ekbal, Asif; Hasanuzzaman, Mohammed; Kamila, Sabyasachi; Kaur, Mandeep In: Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Kamila, Sabyasachi, Kaur, Mandeep, Saha, Sriparna and Ekbal, Asif (2017) Temporal orientation of tweets for predicting income of users. In: 55th Annual Meeting of the Association for Computational Linguistics, 30 Jul - 4 Aug 2017, Vancouver, Canada. (2017) Abstract: Automatically estimating a user’s socioeconomic profile from their language use in social media can significantly help social science research and various downstream applications ranging from business to politics. The current paper presents the first study where user cognitive structure is used to build a predictive model of income. In particular, we first develop a classifier using a weakly supervised learning framework to automatically time-tag tweets as past, present, or future. We quantify a user’s overall temporal orientation based on their distribution of tweets, and use it to build a predictive model of income. Our analysis uncovers a correlation between future temporal orientation and income. Finally, we measure the predictive power of future temporal orientation on income by performing regression. Keyword: Machine translating URL: http://doras.dcu.ie/23373/ BASE Hide details 4 Multi-Objective Search Results Clustering Acharya, Sudipta; Saha, Sriparna; Moreno, José G.... In: 25th International Conference on Computational Linguistics (COLING 2014) ; https://hal.archives-ouvertes.fr/hal-01077207 ; 25th International Conference on Computational Linguistics (COLING 2014), Aug 2014, dublin, Ireland. pp.99 - 108 (2014) BASE Show details 5 Multiobjective optimization for classifier ensemble and feature selection: an application to named entity recognition Ekbal, Asif; Saha, Sriparna In: International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer 15 (2012) 2, 143-166 OLC Linguistik Show details 6 Classifier ensemble selection using genetic algorithm for named entity recognition Saha, Sriparna; Ekbal, Asif In: Research on language and computation. - London : King's College 8 (2010) 1, 73-99 BLLDB OLC Linguistik Show details 7 A new point symmetry based fuzzy genetic clustering technique for automatic evolution of clusters Saha, Sriparna; Bandyopadhyay, Sanghamitra In: Information sciences. - New York, NY : Elsevier Science Inc. 179 (2009) 19, 3230-3246 OLC Linguistik Show details

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