Emotion is at the core of understanding ourselves and others, and the automatic expression and detection of emotion could enhance our experience with technologies. In this paper, we explore the use of computational linguistic tools to derive emotional features. Using 50 and 200 word samples of naturally-occurring blog texts, we find that some emotions are more discernible than others. In partic...

The differences in the frequencies of some parts of speech (POS), particularly function words, and lexical diversity in male and female speech have been pointed out in a number of papers. The classifiers using exclusively context-independent parameters have proved to be highly effective. However, there are still issues that have to be addressed as a lot of studies are performed for English and ...

Development of noun phrase structure and use is analyzed as an important facet of syntactic acquisition from middle childhood to adolescence. Noun phrases occurring in narrative and expository texts produced in both speech and writing by 96 native speakers of English and Hebrew were identified and examined by a set of specially devised criteria including length in words, syntactic depth, abstra...

Moral text processing was used as an ecologically valid method for assessing implicit and explicit moral understanding and development. The authors tested undergraduates, seminarians, and graduate students in political science and philosophy for recall of moral narratives and moral expository texts. Multivariate analyses of covariance using educational experience as an independent variable, age...

In this paper we describe the results of experiments contrasting syntactic phrase indexing with statistical phrase indexing for Dutch texts. Our results showed that we at least need a compound splitting algorithm for good quality retrieval for Dutch texts. If we then add either syntactic or statistical phrases, performance generally improves, but this eeect is never statistically signiicant. If...

In this paper the authors experiment and test a new biomimetic approach based on social spiders to solve a combinatorial problem ie the automatic classification of texts because a very large data stream flows and particularly on the web. Representation of textual data was performed by a method independent of the language ie n-gram characters and words because there is currently no method of lea...

Previous studies have found that viewers’ attention is disproportionately attracted by texts, and one possible reason is that viewers have developed a “text detector” in their visual system to bias their attention toward text features. To verify this hypothesis, we add a text detector module to a visual attention model and test if the inclusion increases the model’s ability to predict eye fixat...

This paper analyzes the discourses of Argentine doctor and public health professional Leopoldo Bard using three texts on drug abuse published between 1923 and 1933. These texts embody the debates of the time regarding the role of the State, public policies at the national and regional level and, particularly, the US influence in Argentina exerted through the figure of Dr. Bard. The legislative ...

In her article "Dante's Linguistic Detail in Shelley's Triumph of Life" Anita O'Connell analyzes Shelley's attention to detail in Dante's poetic style and presents a close textual analysis of the ways Shelley draws on the beauty of Dante's texts. When Dante's Divine Comedy re-emerged into the public sphere in Britain through Henry Cary's 1814 translation, his reputation was as a stern, dark, Me...

This article introduces an automated knowledge inference approach taking advantage of relationships extracted from texts. It is based on a novel framework making possible to exploit (i) a generated partial ordering of studied objects (e.g. noun phrases), and (ii) prior knowledge defined into ontologies. This framework is particularly suited for defining information propagation rules based on ev...