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Found 10 papers, 6 papers with code
A decomposition of book structure through ousiometric fluctuations in cumulative word-time
Our findings suggest that, in the ousiometric sense, longer books are not expanded versions of shorter books, but are more similar in structure to a concatenation of shorter texts.
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
Image-to-image regression is an important learning task, used frequently in biological imaging.
Sentiment and structure in word co-occurrence networks on Twitter
We explore the relationship between context and happiness scores in political tweets using word co-occurrence networks, where nodes in the network are the words, and the weight of an edge is the number of tweets in the corpus for which the two connected words co-occur.
Augmenting semantic lexicons using word embeddings and transfer learning
Sentiment-aware intelligent systems are essential to a wide array of applications.
Object Tracking and Geo-localization from Street Images
Geo-localizing static objects from street images is challenging but also very important for road asset mapping and autonomous driving.
Quantifying language changes surrounding mental health on Twitter
Mental health challenges are thought to afflict around 10% of the global population each year, with many going untreated due to stigma and limited access to services.
Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter
In real-time, social media data strongly imprints world events, popular culture, and day-to-day conversations by millions of ordinary people at a scale that is scarcely conventionalized and recorded.
The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong
However, the extent to which mortality in a geographical region is a function of socioeconomic factors in both that region and its neighbors is unclear.
Physics and Society Social and Information Networks Applications
The growing amplification of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020
We find that for the most common languages on Twitter there is a growing tendency, though not universal, to retweet rather than share new content.
The shocklet transform: A decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series
We introduce a qualitative, shape-based, timescale-independent time-domain transform used to extract local dynamics from sociotechnical time series---termed the Discrete Shocklet Transform (DST)---and an associated similarity search routine, the Shocklet Transform And Ranking (STAR) algorithm, that indicates time windows during which panels of time series display qualitatively-similar anomalous behavior.
Physics and Society Data Structures and Algorithms Signal Processing Data Analysis, Statistics and Probability
