Presentation 12,13

一日一テーマを守ってきましたが、最近自分で情報を抱えきれなくなっていますので、一日二アップと勢いよくいきます。

☆Presentation 12
Text Analytics For Unified Business Intelligence
Dr.Yonatan Aumann
ClearForest

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Enterprises are faced with a difficult information challenge: how to analyze unified information, bothtext and data, in a way that supports critical business analysis and decision-making.

Unstructured content, such as e-mails, phone messages, Web pages, user groups and documents, gives enterprises access to the voice of their customers. Text analytics combined with existing data analysis makes it possible to connect the dots between a 'what' and a 'why'.

Increasingly organizations are seeking to incorporate the 'voice of information into their traditional structured data analytics for a better understanding of what customers think, why trends occur, and what factors drive business behavior.

This analysis, however, necessitates the ability to understand and analyze unstructured textual data.

In this presentation we shall present ClearForest's solution for advanced text analysis, enabling customers to accelerate their capacity to innovate and improve customer retention models, quality root cause analysis and 'know your customer and supplier' risk scores.

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☆Presentation 13
Searching The Tagspace With RawSugar
Dr. Frank Smadja
RawSugar

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There has recently been a great surge of interest in collaborative tagging as a means of facilitating knowledge sharing in social computing.

Collaborative tagging refers to the process in which a community of users adds meta-information in the form of keywords or tags to Web content such as web pages, links, photographs and audio files on a centralized W0b server.

While collaborative tagging is only starting to be researched in the research community, it seems to address a real need on the Web as demonstrated by the growing popularity of tagging and annotation sites (see del.icio.us, flickr, Youtube, technorati, RawSugar, Shadows, etc.); the most popular sites already have a combined user base of well over ten million users.

There is a great deal of untapped potential for tagging to improve how web content is organized, navigated and experienced.

Yet most tagging services are still far from fulfilling this promise as they do not address the search issues of the tagspace and it is not really clear how they will evolve and scale, when, if at all, usage base will go beyond early adopters.

In this talk we present RawSugar's approach to searching the tagspace and we focus on several technology aspects that we use for this purpose. Specifically, we discuss the use of faceted search and hierarchical tags and how we control the tagging language. We will also briefly discuss how we mine and learn from the tagspace, and our attempts to read the user's mind in our suggestion engine.

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しかし、アメリカの固定電話では、skypeが使えるらしいですよ。
こんなのつくって大丈夫なの?
http://eqo.com/download_how.html
危険極まりないサービス・・・。