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Airbnb-ing around the world - On Physical Sciences

From Beijing to Buenos Aires, from London to New York: what city neighborhoods do Airbnb guests prefer to travel to? And what makes their stays most satisfactory? Recently published work in EPJ Data Science explores these questions with Airbnb data about 19 cities around the world, covering a 9-year period. ....

United States , Buenos Aires , Distrito Federal , City Of , United Kingdom , North America , South America , Western World , Latin America , Natural Language Processing , Valence Aware Dictionary , Sentiment Reasoning , Gibbs Sampling Dirichlet Mixture Model ,

"On the predictive power of tweet sentiments and attention on bitcoin" by Sandy Suardi, Atiqur Rahman Rasel et al.

This paper investigates the predictive power of information contained in social media tweets on bitcoin market dynamics. Using Valence Aware Dictionary for Sentiment Reasoning (VADER), we extract useful information from tweets and construct two factors – sentiment dispersion (SD) and investor attention (IA) – to test their predictive power. We show that investors face greater return volatility for rising sentiment dispersion associated with more significant market uncertainty. Further, IA is found to predict bitcoin trading volume but not returns and volatility. Finally, we design an IA-induced trading strategy that yields superior performance to the passive buy-and-hold strategy in 2018. However, it does not deliver superior performance in other years during the sample period suggesting that investor attention alone as a trading parameter does not produce superior performance over the long term. ....

Valence Aware Dictionary , Sentiment Reasoning , Itcoin Return Volatility , Bitcoin Trading Strategy , Investor Attention , Investor Sentiment ,