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Renewable Energy Sentiment

Transitioning to renewable electricity generation is an important component of the US response to climate change.    The speed of this transition depends on factors ranging from the rates of technological innovation, market adoption and governmental incentives...

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Ousiometrics and Telegnomics: The essence of meaning conforms to a two-dimensional powerful-weak and dangerous-safe framework with diverse corpora presenting a safety bias

New on the arXiv: “Ousiometrics and Telegnomics: The essence of meaning conforms to a two-dimensional powerful-weak and dangerous-safe framework with diverse corpora presenting a safety bias” https://arxiv.org/abs/2110.06847 We measure essential meaning using language as the map. Some definitions: 1. Ousiometrics: The quantitative study of the essential meaningful components of an entity, however perceived. 2. Telegnomics: The far sensing of knowledge (~ distant reading) ...

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Sentiment and structure in word co-occurrence networks on Twitter

"Sentiment and structure in word co-occurrence networks on Twitter" New preprint from our group led by @uvmcomplexity postdoc @MikaelaFudolig Using tweets containing #imwithher or #crookedhillary, both relating to Hillary Clinton's presidential bid in 2016, we explore the relationship between context and sentiment through word co-occurrence networks. ...

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Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter

We have a new paper, interactive visualization, and data platform. Nutshell: we’ve curated 100 billion tweets over 10 years to produce day-scale rank/frequency time series for n-grams in over 100 languages. It’s a whole big thing. A short thread—The paper: “Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter” ...

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Blending search queries with social media data to improve forecasts of economic indicators

"Blending search queries with social media data to improve forecasts of economic indicators" New preprint led by Yi Li & Adam Fox from @mmdatascience w/help from our group https://arxiv.org/abs/2107.06096 This work extends a model recently proposed by Dingdong Yi, @ShaoyangNing, Chia-Jung Chang, & S. C. Kou in their paper "Forecasting Unemployment Using Internet Search Data via PRISM" ...

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