2,585 research outputs found
Recurrence Tracking Microscope
In order to probe nanostructures on a surface we present a microscope based
on the quantum recurrence phenomena. A cloud of atoms bounces off an atomic
mirror connected to a cantilever and exhibits quantum recurrences. The times at
which the recurrences occur depend on the initial height of the bouncing atoms
above the atomic mirror, and vary following the structures on the surface under
investigation. The microscope has inherent advantages over existing techniques
of scanning tunneling microscope and atomic force microscope. Presently
available experimental technology makes it possible to develop the device in
the laboratory
The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition
Negators, modals, and degree adverbs can significantly affect the sentiment
of the words they modify. Often, their impact is modeled with simple
heuristics; although, recent work has shown that such heuristics do not capture
the true sentiment of multi-word phrases. We created a dataset of phrases that
include various negators, modals, and degree adverbs, as well as their
combinations. Both the phrases and their constituent content words were
annotated with real-valued scores of sentiment association. Using phrasal terms
in the created dataset, we analyze the impact of individual modifiers and the
average effect of the groups of modifiers on overall sentiment. We find that
the effect of modifiers varies substantially among the members of the same
group. Furthermore, each individual modifier can affect sentiment words in
different ways. Therefore, solutions based on statistical learning seem more
promising than fixed hand-crafted rules on the task of automatic sentiment
prediction.Comment: In Proceedings of the 7th Workshop on Computational Approaches to
Subjectivity, Sentiment and Social Media Analysis (WASSA), San Diego,
California, 201
Generating Music from Literature
We present a system, TransProse, that automatically generates musical pieces
from text. TransProse uses known relations between elements of music such as
tempo and scale, and the emotions they evoke. Further, it uses a novel
mechanism to determine sequences of notes that capture the emotional activity
in the text. The work has applications in information visualization, in
creating audio-visual e-books, and in developing music apps
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