A common task in literary analysis is to study characters in a novel or collection. When dealing with large documents or collections automatic entity extraction, text analysis and effective user interfaces might facilitate the exploration of the topics discussed or the vocabulary used in the neighborhood of the characters. Using our interface, called POSvis, the scholar uses word clouds and sel...

objectives: stuttering is one of the most prevalent speech and language disorders. symptomology of stuttering has been surveyed from different aspects such as biological, developmental, environmental, emotional, learning and linguistic. previous researches in english-speaking people have suggested that some linguistic features such as word meanings may play a role in the frequency of speech non...

Weather radar had its beginnings at the end of Word War II when it was noticed that storms clutter radar displays meant to reveal enemy aircraft. Thus radar meteorology was born. Until the sixties only the return power from weather tracers was measured which offered the first glimpses into precipitation structure hidden inside clouds. Possibilities opened up to recognize hail storms, regions of...

We describe our experience using both Amazon Mechanical Turk (MTurk) and CrowdFlower to collect simple named entity annotations for Twitter status updates. Unlike most genres that have traditionally been the focus of named entity experiments, Twitter is far more informal and abbreviated. The collected annotations and annotation techniques will provide a first step towards the full study of name...

In a recent interview, Whitfield Diffie argued that “the whole point of cloud computing is economy” and while it is possible in principle for “computation to be done on encrypted data, [...] current techniques would more than undo the economy gained by the outsourcing and show little sign of becoming practical”. In this paper we aim to understand whether this is truly the case and quantify just...

= {Probabilistic topic models are important tools for indexing, summarizing, and analyzing large document collections by their themes. However, promoting end-user understanding of topics remains an open research problem. We compare labels generated by users given four topic visualization techniquesword lists, word lists with bars, word clouds, and network graphsagainst each other and against au...

= {Probabilistic topic models are important tools for indexing, summarizing, and analyzing large document collections by their themes. However, promoting end-user understanding of topics remains an open research problem. We compare labels generated by users given four topic visualization techniquesword lists, word lists with bars, word clouds, and network graphsagainst each other and against au...

it is very important to determine the stable nitrogen isotope ratio for the nitrogenous substances in aerosols and the geochemistry behavior of stable nitrate ion isotopes in aerosols in order to elucidate the chemical and physical functions of clouds. hence, aerosol field sampling was conducted in the skies offshore from malibu beach and santa barbara, california, u.s.a. on 16 and 18 july 200...

The present work is an excerpt from a doctoral research on the development of autonomy process in adults belonging to Young Adult Education city Fortaleza. This fragment used content analysis approach, through IRAMUTEQ software, evaluate thirty-five semi-structured interviews applied students two schools. Analysis Descending Hierarchical Classification, Similitude and elaboration word clouds we...