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103 - Processing Language in Social Media, with Brendan O'Connor
Manage episode 251654438 series 1452120
Contenido proporcionado por NLP Highlights and Allen Institute for Artificial Intelligence. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente NLP Highlights and Allen Institute for Artificial Intelligence o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
We talked to Brendan O’Connor for this episode about processing language in social media. Brendan started off by telling us about his projects that studied the linguistic and geographical patterns of African American English (AAE), and how obtaining data from Twitter made these projects possible. We then talked about how many tools built for standard English perform very poorly on AAE, and why collecting dialect-specific data is important. For the rest of the conversation, we discussed the issues involved in scraping data from social media, including ethical considerations and the biases that the data comes with. Brendan O’Connor is an Assistant Professor at the University of Massachusetts, Amherst. Warning: This episode contains explicit language (one swear word).
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Manage episode 251654438 series 1452120
Contenido proporcionado por NLP Highlights and Allen Institute for Artificial Intelligence. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente NLP Highlights and Allen Institute for Artificial Intelligence o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
We talked to Brendan O’Connor for this episode about processing language in social media. Brendan started off by telling us about his projects that studied the linguistic and geographical patterns of African American English (AAE), and how obtaining data from Twitter made these projects possible. We then talked about how many tools built for standard English perform very poorly on AAE, and why collecting dialect-specific data is important. For the rest of the conversation, we discussed the issues involved in scraping data from social media, including ethical considerations and the biases that the data comes with. Brendan O’Connor is an Assistant Professor at the University of Massachusetts, Amherst. Warning: This episode contains explicit language (one swear word).
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continue reading
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Similar a NLP Highlights
Artificial Intelligence has suddenly gone from the fringes of science to being everywhere. So how did we get here? And where's this all heading? In this new series of Science Friction, we're finding out.
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