Arash Arash (arash7st)'s Public Profile in the Diigo Community

I am interested in philanthropy,enlightened wealth,investment,trading,commodity futures,S&P e-mini,real estate investment,Oregon,Austin TX,Portland OR,India,Meher Baba,Iran,transformational learning,Landmark education,enneagram.

Member since Dec 28, 2006, follows 5 people, 0 public groups, 433 public bookmarks (746 total).

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Recent Bookmarks and Annotations

Google Wave on 2009-12-26
- enables the third and fourth.
- Google Wave
Investments Theory Mini, FIN 532: Course Materials on 2009-12-26
The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data - Books24x7 on 2009-12-24
- corporate finance
- Three areas of analytical inquiry have proven particularly fertile ground for text mining applications
- 2 more annotations...
- - patent research,
  - life sciences,
Homeopathic Educational Services - Distance Learning Courses (Excellent!) on 2009-12-22
Seth Grimes -- Online business card on 2009-12-21
Text Mining and Link Analysis for Web and Semantic Web on 2009-12-20
Text Analytics Takes Business Insight To New Depths - Forrester Research on 2009-12-20
- how much consumers trust specific types of content, online ratings and reviews topped the list of trusted material
- extract meaning out of large quantities of text by mining, interpreting, and structuring information to reveal hidden patterns and relationships.
- 14 more annotations...
- - such insights often remain hidden because:
  - Without a mechanism to analyze large volumes of unstructured content, enterprises either ignore it or merely store it, instead of maximizing its value.
  - The opportunity to catch product defects and customer satisfaction issues before they become big news has bottom-line business value.
  - challenge lies in identifying statistically valid data related to specific business priorities
  - need to examine unstructured content in aggregate in order to reveal the big picture.
  - Thus the top priority for strategic decision-makers considering a text analytics project is to focus on solving an explicit business problem.
  - Forrester defines text analytics as:
    The process of extracting and analyzing information patterns in text collections.
  - four key components: entity extraction, categorization, relationship mapping, and sentiment analysis
  - it adds structure, thereby transforming unstructured content to useful information
  - information can be quantified, plotted, and visualized
  - review a dashboard of top customer issues
  - incorporate top customer concerns and suggestions into data-driven product promotions.
  - Customer experience management is the hot application area driving the growth of text analytics today
  - Text analytics vendors fall into two camps
Statistical Data Mining Tutorials on 2009-12-20
Text Analytics News on 2009-12-20
GATE.ac.uk - index.html on 2009-12-20