Approaches in Visual Analytics have so far been developed for a wide array of research areas, mainly with a focus on industrial or business applications. The field of linguistics, however, has only marginally incorporated visualizations in its research, e.g. using simple tree representations, attribute-value matrices or network analyses. This paper suggests a new interesting field of applicatio...

We present a comparative analysis of the performance of a statistics-based system for the formation of semantic groups of adjectives when various sources of linguistic knowledge are introduced. We identify four different types of slufllow linguistic knowledge that are applicable to this system, and we quantify the performance gained by incorporating each such knowledge module, We perform experi...

Decision making is a process common to human beings. The uncertainty and fuzziness of problems demand the use of the fuzzy linguistic approach to model qualitative aspects of problems related to decision. The recent proposal of hesitant fuzzy linguistic term sets supports the elicitation of comparative linguistic expressions in hesitant situations when experts hesitate among different linguisti...

This paper discuses the problem of identifying comparative opinion sentences in Arabic text. Most works in the field of opinion mining concentrate on extracting knowledge from direct opinions. Directly mining positive or negative opinions on a product review or its features is only one form of opinion mining; comparing a product review with some other competitive products is another form. Compa...

To relax the Term Independence Assumption, Term Dependency is introduced and it has improved retrieval precision dramatically. There are two kinds of term dependencies, one is defined by term proximity, and the other is defined by linguistic dependencies. In this paper, we take a comparative study to re-examine these two kinds of term dependencies in dependence language model framework. Syntact...

This paper proposes a fuzzy discriminant analysis to solve the two-group classification problem where the measured variables are linguistic in nature. Especially under imprecise framework, the linguistic variables capture more information although vagueness is inherent. In analogy to classical statistics, a fuzzy linear discriminant function is introduced here, which directly deals with continu...

Patients with right-hemisphere damage, who ostensibly have no linguistic impairment, are relatively incapable* of solving two-term series problems in which comparative adjectives in the premise and question are antonymic. This finding suggests that such verbal reasoning depends, in part, upon nonlinguistic imaginal processes subserved by the right hemisphere. In this manner, the right hemispher...