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Sentiment analysis is a common use case for large language models in generative AI and we’re kicking off Pride Month with a discussion of a recent study that examined the way firms are talking about LGBTQ+ issues in public statements. Returning guest Emily Jasper and Ilan Attar of Pronto NLP, who led the analysis, join host Eric Hanselman to look at what the study explored, how they trained the model used for the analysis, and some of the results. While many organizations make supporting statements around diversity, equity and inclusion, insights can be gleaned on the depth of the commitment expressed. It requires much more than the typical sentiment analysis, not only because of the common use of the word pride, but also because of the complexity of the environments in which supporting statements are made. In a year where DEI initiatives have been under strain, determining the level of “pinkwashing” that may be taking place can offer useful perspectives on positioning and support.
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Sentiment analysis is a common use case for large language models in generative AI and we’re kicking off Pride Month with a discussion of a recent study that examined the way firms are talking about LGBTQ+ issues in public statements. Returning guest Emily Jasper and Ilan Attar of Pronto NLP, who led the analysis, join host Eric Hanselman to look at what the study explored, how they trained the model used for the analysis, and some of the results. While many organizations make supporting statements around diversity, equity and inclusion, insights can be gleaned on the depth of the commitment expressed. It requires much more than the typical sentiment analysis, not only because of the common use of the word pride, but also because of the complexity of the environments in which supporting statements are made. In a year where DEI initiatives have been under strain, determining the level of “pinkwashing” that may be taking place can offer useful perspectives on positioning and support.
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