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README

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pmiguel commited on Mar 14, 2023

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@@ -22,7 +22,7 @@ Our research aims to study and implement methodologies for the study of social e
 We mainly work on textual sources, using different techniques and strategies from artificial intelligence, such as text mining and natural language processing (NLP) and machine learning, including deep neural networks (deep learning), multivariate statistical methods and data visualization.
-Here we are pleased to present  results of a study on hate speech detection in social networks, from an interdisciplinary perspective, addressing hate speech both quantitative and qualitatively, in the time frame of COVID-19 pandemic.
 ## Published Work

 We mainly work on textual sources, using different techniques and strategies from artificial intelligence, such as text mining and natural language processing (NLP) and machine learning, including deep neural networks (deep learning), multivariate statistical methods and data visualization.
+Here we are pleased to present  results of a study on hate speech detection in social networks, from an interdisciplinary perspective, addressing hate speech both quantitative and qualitatively, during the COVID-19 pandemic time frame.
 ## Published Work