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dc.contributor.author Abdul-Mageed, Muhammad en
dc.contributor.author Dickinson, Markus en
dc.date.accessioned 2016-08-10T15:22:57Z en
dc.date.available 2016-08-10T15:22:57Z en
dc.date.issued 2015-11-06 en
dc.identifier.uri https://hdl.handle.net/2022/20940 en
dc.description Muhammad Abdul-Mageed is a Visiting Assistant Professor in the School of Informatics and Computing. Muhammad's interests are at the intersection of machine learning, natural language processing, and social media. He is especially interested in creating more 'social' machines. Markus Dickinson is an Associate Professor of Linguistics. Part of his research focuses on the intersection of linguistic annotation and natural language processing and the other part focuses on the automatic analysis of second language learner data. en
dc.description.abstract With the increasing role social media platforms like Facebook, Twitter, YouTube, and Tumbler play in our lives today, the body of data generated by their users continues to grow phenomenally. Accordingly, searches and processing of social media data beyond the limiting level of surface words are becoming increasingly important to business and governmental bodies, as well as to lay web users. Detection of sentiment, emotion, deception, gender, sarcasm, age, perspective, topic, community, and personality are all valuable social meaning components that promise to be important elements of next generation search engines and web intelligence. The emerging area of extracting social meaning from social media data using computational methods is known as Social Media Mining (SMM). This workshop is intended to first introduce the core ideas of natural language processing (NLP) and then to provide the ideas and some hands-on instruction in mining social data using NLP and machine learning technologies. As such, we will address practical issues related to building tools to mine social media data and some of the primary computational methods employed for modeling social meaning as occurring in these data. en
dc.language.iso en_US en
dc.publisher Indiana University Workshop in Methods en
dc.relation.isversionof Click on the PURL link below in the "Link(s) to data and video for this item" section to play this video. en
dc.relation.uri http://purl.dlib.indiana.edu/iudl/media/p38w32s711 en
dc.subject social media mining en
dc.subject natural language processing en
dc.subject machine learning en
dc.subject Workshop in Methods en
dc.title Social Media Mining with Natural Language Processing en
dc.type Presentation en
dc.altmetrics.display false en


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