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Explicit customer review ratings mark future business success. One important and well-studied aspect of customer satisfaction is a review's affective — positive or negative — valence. More recently, tools from natural language processing (NLP) applied to reviews show less obvious linguistic differences in review texts dependent on reviewer rating. Consistent with this is previous work using Linguistic...
There is a little understanding of distributed solving activities in Open Source communities. This study aimed to provide some insights in this way. It was applied to the context of Bugzilla, the bug tracking system of Mozilla community. This study investigated the organizational aspects of this meditated, complex and highly distributed context through a linguistic analysis method. The main finding...
Recent research in cognitive psychology, neuroscience, and robotics has widely explored the tight relations between language and action systems in primates. However, the link between the pragmatics of linguistic and nonlinguistic interactions has received less attention up to now. In this paper, we argue that cognitive agents exploit the same cognitive processes and neural substrate—a general pragmatic...
The task of achieving competent artificial natural language systems is enormous. Advances in hardware and the structural analysis of verbalizations have outpaced theories of language and cognition. Functional contextualism, a behavioral approach in psychology, has seen the rise of relational frame theory, which offers an alternative conceptualization of language and cognition. This theory is based...
In this paper we present Double Tree, a new visualization of Key Word In Context (KWIC) displays targeted to support linguistic analysis. Inspired by Wattenberg's and Viégas' [1] Word Tree visualization, Double Tree extends the idea of representing KWIC results as trees. We address several issues with Word Trees with respect to the specific demands of linguists and discuss the design decisions and...
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