Psychology and psychoanalysis in Brazil - From cultural syncretism to the collapse of liberal individualism

This paper focuses first on cultural syncretism, used to characterize Brazilian culture. The other aspect of this socially and racially blended culture is the unfinished assimilation of liberalism in politics and the economy, which defines Brazilian society. The increased assimilation and dissemination of psychology may be linked with these in cultural and social aspects. During the military period (1964-1974) the major expansion in university-level studies in psychology contributed ideologically to the dissemination of psychology throughout Brazilian society. This introduced a type of psychology that was related primarily to clinical practice and developed in opposition to social work practice. This paper examines the ideological bases for this conflict between clinical and social work. Criteria for understanding the cultural dissemination of psychoanalysis are then discussed, and it is argued that cultural incorporation of psychoanalysis involves the development of discourse complexes to reflect particular aspects of Brazilian society. The criteria (a non-totalitarian society and the displacement of a magical and religious interpretation of mental disturbance by psychiatric interpretation) are evaluated in relation to the peculiarities of Brazilian syncretism. The paper argues that cultural syncretism and the incomplete assimilation of liberal ideology must be included as criteria in understanding the particular cultural incorporation of psychoanalysis in Brazil.

Amerindian anthropology and cultural psychology: Crossing boundaries and meeting otherness` worlds

Addressing integrative possibilities between psychology and anthropology, this paper aims to design conceptual linkages between semiotic-cultural constructivist psychology and the anthropological theory of Amerindian perspectivism. From the psychological view, it is the interdependence between the structural and processual dimensions of the personal culture that makes parallels with Amerindian perspectivism fruitful. This anthropological frame proposes an experiment with native conceptions, which I argue similar to what Baldwin (1906) called sembling. Hence, it can be considered an active imitation of otherness` viewpoint in order to approach indigenous worlds. It is supposed that this procedure leads to the emergence of new symbolic elements configuring the cultural action field of each agency in interaction. It is proposed that ""making-believe`` the Amerindian is convergent with the dialogic-hermeneutic approach of semiotic-cultural constructivism. As a result of the present integrative effort, is designed a meta-model that multiplies the genetic process of concrete symbolic objects.

Extractive summarization using complex networks and syntactic dependency

The realization that statistical physics methods can be applied to analyze written texts represented as complex networks has led to several developments in natural language processing, including automatic summarization and evaluation of machine translation. Most importantly, so far only a few metrics of complex networks have been used and therefore there is ample opportunity to enhance the statistics-based methods as new measures of network topology and dynamics are created. In this paper, we employ for the first time the metrics betweenness, vulnerability and diversity to analyze written texts in Brazilian Portuguese. Using strategies based on diversity metrics, a better performance in automatic summarization is achieved in comparison to previous work employing complex networks. With an optimized method the Rouge score (an automatic evaluation method used in summarization) was 0.5089, which is the best value ever achieved for an extractive summarizer with statistical methods based on complex networks for Brazilian Portuguese. Furthermore, the diversity metric can detect keywords with high precision, which is why we believe it is suitable to produce good summaries. It is also shown that incorporating linguistic knowledge through a syntactic parser does enhance the performance of the automatic summarizers, as expected, but the increase in the Rouge score is only minor. These results reinforce the suitability of complex network methods for improving automatic summarizers in particular, and treating text in general. (C) 2011 Elsevier B.V. All rights reserved.

Incorporating label dependency into the binary relevance framework for multi-label classification

In multi-label classification, examples can be associated with multiple labels simultaneously. The task of learning from multi-label data can be addressed by methods that transform the multi-label classification problem into several single-label classification problems. The binary relevance approach is one of these methods, where the multi-label learning task is decomposed into several independent binary classification problems, one for each label in the set of labels, and the final labels for each example are determined by aggregating the predictions from all binary classifiers. However, this approach fails to consider any dependency among the labels. Aiming to accurately predict label combinations, in this paper we propose a simple approach that enables the binary classifiers to discover existing label dependency by themselves. An experimental study using decision trees, a kernel method as well as Naive Bayes as base-learning techniques shows the potential of the proposed approach to improve the multi-label classification performance.