189,163 research outputs found

    The Role of Text Pre-processing in Sentiment Analysis

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    It is challenging to understand the latest trends and summarise the state or general opinions about products due to the big diversity and size of social media data, and this creates the need of automated and real time opinion extraction and mining. Mining online opinion is a form of sentiment analysis that is treated as a difficult text classification task. In this paper, we explore the role of text pre-processing in sentiment analysis, and report on experimental results that demonstrate that with appropriate feature selection and representation, sentiment analysis accuracies using support vector machines (SVM) in this area may be significantly improved. The level of accuracy achieved is shown to be comparable to the ones achieved in topic categorisation although sentiment analysis is considered to be a much harder problem in the literature

    Resonant systems for dynamic evaluation of pressure transducers

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    Tests were conducted with contrived inlet modulated sinusoidal pressure generator to study possible use in calibrating pressure sensors. Results indicate concept is feasible and applicable to transducer evaluation

    Fermions in gravity and gauge backgrounds on a brane world

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    We solve the fermionic zero modes in gravity and gauge backgrounds on a brane involving a warped geometry, and study the localization of spin 1/2 fermionic field on the brane world. The result is that there exist massless spin 1/2 fermions which can be localized on the bulk with the exponentially decreasing warp factor if including U(1) gauge background. Two special cases of gauge backgrounds on the extra dimensional manifold are discussed.Comment: 11 pages, no figures, final versio

    Resonant systems for dynamic transducer evaluations Final report

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    Resonant systems for dynamic transducer evaluation

    The Sheffield Wargames Corpus.

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    Recognition of speech in natural environments is a challenging task, even more so if this involves conversations between sev-eral speakers. Work on meeting recognition has addressed some of the significant challenges, mostly targeting formal, business style meetings where people are mostly in a static position in a room. Only limited data is available that contains high qual-ity near and far field data from real interactions between par-ticipants. In this paper we present a new corpus for research on speech recognition, speaker tracking and diarisation, based on recordings of native speakers of English playing a table-top wargame. The Sheffield Wargames Corpus comprises 7 hours of data from 10 recording sessions, obtained from 96 micro-phones, 3 video cameras and, most importantly, 3D location data provided by a sensor tracking system. The corpus repre-sents a unique resource, that provides for the first time location tracks (1.3Hz) of speakers that are constantly moving and talk-ing. The corpus is available for research purposes, and includes annotated development and evaluation test sets. Baseline results for close-talking and far field sets are included in this paper. 1

    Relations Among Universal Equations For Gromov-Witten Invariants

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    In this paper, we study relations among known universal equations for Gromov-Witten invariants at genus 1 and 2.Comment: LaTex file, 13 page

    Descreening of Field Effect in Electrically Gated Nanopores

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    This modeling work investigates the electrical modulation characteristics of field-effect gated nanopores. Highly nonlinear current modulations are observed in nanopores with non-overlapping electric double layers, including those with pore diameters 100 times the Debye screening length. We attribute this extended field-effect gating to a descreening effect, i.e. the counter-ions do not fully relax to screen the gating potential due to the presence of strong ionic transport

    Cavitation Event Rates and Nuclei Distributions

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    This paper examines the relationship between the cavitation event rates on axisymmetric headforms and the nuclei distributions in the incident flow. An analytical model is developed to relate these quantities and the results are compared with experimental cavitation event rates measured in the Large Cavitation Channel (LCC) at David Taylor Research Center (DTRC) on three different sizes of Schiebe body. The experiments were carried out at various cavitation numbers, tunnel velocities and air contents. Boundary layer, bubble screening and observable cavitation bubble size effects on the event rates are examined. The trends in the event rates with changing cavitation number and body size are consistent with those observed experimentally. However the magnitudes of the event rates are about an order of magnitude larger than the experimental data. Nevertheless it is shown that the cavitation inception values predicted using a certain critical event rate are consistent with those observed experimentally
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