Aplicando Métodos de Mineração Visual de Texto em conteúdo de Fórum de Discussão

We are included in a society where the use of the Internet became very important to our everyday life. The relationships nowadays usually happen through technological devices instead of face to face contact, for instance, Internet forums where people can discuss online. However, the global analysis is a big challenge, due to the large amount of data. This work investigates the use of visual representations to support an exploratory analysis of contents in messages from discussions forums. This analysis considers the thematic and the chronology. The target forums refer to the educational area and the analysis happens manually, i.e. by direct reading message-by-message. The proprieties of perception and cognition of the human visual system allow a person the capacity to conduct high-level tasks in information extraction from a graphical or visual representation of data. Therefore, this work was based on Visual Analytics, an area that aims create techniques that amplify these human abilities. For that reason we used software that creates a visualization of data from a forum. This software allows a forum content analysis. But, during the work, we identified the necessity to create a new tool to clean the data, because the data had a lot of unnecessary information. After cleaning the data we created a new visualization and held an analysis seeking a new knowledge. In the end we compared the new visualization with the manual analysis that had been made. Analyzing the results, it was evident the potential of visualization use, it provides a better correlation between the information, enabling the acquisition of new knowledge that was not identified in the initial analysis, providing a better use of the forum content

Fóruns no ambiente Teleduc: reflexões sobre o papel dos mediadores e estratégias de gerenciamento de debates

Online discussion forums have been widely used in internet-mediated courses and blended courses. In these learning contexts, the mediator's (or tutor's) role in supporting successful learning is of considerable importance. Firstly, the present article discusses some studies in which the mediator's role in online learning environments is emphasized. Secondly, we use this discussion to support our qualitative case-study analysis, in which we investigated mediators' debate-management strategies in TelEduc virtual forums. Lastly, we propose a reflective framework about management strategies in forums in virtual learning platforms.

Noan Balakian, Gloria Orenstein, and Erika Duncan at The Woman's Salon.

Inscription: Verso: The Woman's Salon, New York. ; Seated on platform from left to right: Nona Balakian, Gloria Orenstein, and Erika Duncan.

Catharine Stimpson, Barbara Deming, Adrienne Rich, and Gloria Orenstein attending The Woman's Salon.

Inscription: Verso: The Woman's Salon, New York. Left to right: Catharine Stimpson, Barbara Deming, Adrienne Rich, and Gloria Orenstein.

Viveca Lindfors at the Woman's Salon.

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Barbara Deming, Erika Duncan, Adrienne Rich, and Gloria Orenstein at The Woman's Salon

Inscription: Verso: The Woman's Salon, New York. Seated on platform: Barbara Deming, Erika Duncan, Adrienne Rich, and Gloria Orenstein.

Kate Millett at the Woman's Salon

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Portrait of Henrietta Weigal at the Woman's Salon.

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Judy Chicago reading at woman's salon event

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Portrait of E.L. Broner

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Portrait of Vivian Gornick

Inscription: Verso: The Woman's Salon, New York. Vivian Gornick reading "In Search of Ali Mahmoud."

Robin Morgan reading "Lady of the Beasts" with Erika Duncan to her right

Inscription: Verso: The Woman's Salon, New York. Robin Morgan reading "Lady of the Beasts" (left). At right is writer Erika Duncan, one of the founders of the Women's Salon.

Gloria Orenstein at the Woman's Salon

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A method for extracting semantic information from on-line art music discussion forums

In this paper a method for extracting semantic informationfrom online music discussion forums is proposed. The semantic relations are inferred from the co-occurrence of musical concepts in forum posts, using network analysis. The method starts by defining a dictionary of common music terms in an art music tradition. Then, it creates a complex network representation of the online forum by matchingsuch dictionary against the forum posts. Once the complex network is built we can study different network measures, including node relevance, node co-occurrence andterm relations via semantically connecting words. Moreover, we can detect communities of concepts inside the forum posts. The rationale is that some music terms are more related to each other than to other terms. All in all, this methodology allows us to obtain meaningful and relevantinformation from forum discussions.