5,504 research outputs found
On the Place of Text Data in Lifelogs, and Text Analysis via Semantic Facets
Current research in lifelog data has not paid enough attention to analysis of
cognitive activities in comparison to physical activities. We argue that as we
look into the future, wearable devices are going to be cheaper and more
prevalent and textual data will play a more significant role. Data captured by
lifelogging devices will increasingly include speech and text, potentially
useful in analysis of intellectual activities. Analyzing what a person hears,
reads, and sees, we should be able to measure the extent of cognitive activity
devoted to a certain topic or subject by a learner. Test-based lifelog records
can benefit from semantic analysis tools developed for natural language
processing. We show how semantic analysis of such text data can be achieved
through the use of taxonomic subject facets and how these facets might be
useful in quantifying cognitive activity devoted to various topics in a
person's day. We are currently developing a method to automatically create
taxonomic topic vocabularies that can be applied to this detection of
intellectual activity
Determining the Characteristic Vocabulary for a Specialized Dictionary using Word2vec and a Directed Crawler
Specialized dictionaries are used to understand concepts in specific domains,
especially where those concepts are not part of the general vocabulary, or
having meanings that differ from ordinary languages. The first step in creating
a specialized dictionary involves detecting the characteristic vocabulary of
the domain in question. Classical methods for detecting this vocabulary involve
gathering a domain corpus, calculating statistics on the terms found there, and
then comparing these statistics to a background or general language corpus.
Terms which are found significantly more often in the specialized corpus than
in the background corpus are candidates for the characteristic vocabulary of
the domain. Here we present two tools, a directed crawler, and a distributional
semantics package, that can be used together, circumventing the need of a
background corpus. Both tools are available on the web
Estuary Classification Revisited
This paper presents the governing equations of a tidally-averaged,
width-averaged, rectangular estuary in completely nondimensionalized forms.
Subsequently, we discover that the dynamics of an estuary is entirely
controlled by only two variables: (i) the Estuarine Froude number, and (ii) a
nondimensional number related to the Estuarine Aspect ratio and the Tidal
Froude number. Motivated by this new observation, the problem of estuary
classification is re-investigated. Our analysis shows that the two control
variables are capable of completely determining the stratification at the
estuary mouth, and therefore can specify the estuary type. The theoretical
estuary classification scheme proposed in this paper is validated against real
estuarine data collected from existing literature. Our classification scheme on
comparison with the state-of-the-art theory shows significant improvement.Comment: 6 pages, 4 figure
Are Tax Cuts Really Expansionary?
In this paper, we re-examine the standard analysis of the short-run effect of a personal tax cut. If consumer spending generates more money demand than other components of GNP, then tax cuts may, by increasing the demand for money, depress aggregate demand. We examine a variety of evidence and conclude that the necessary condition for contractionary tax cuts is probably satisfied for the U.S. economy.
Do Long-Term Interest Rates Overreact to Short-Term Interest Rates?
macroeconomics, interest rates, short-term, long-term
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