Wall Street Traders Using Text Analysis Tools
The number-crunchers on Wall Street are starting to crunch something else: the news.
Math-loving traders are using powerful computers to speed-read news reports, editorials, company Web sites, blog posts and evenTwitter messages — and then letting the machines decide what it all means for the markets
Showing posts with label Text Mining. Show all posts
Showing posts with label Text Mining. Show all posts
Thursday, December 23, 2010
Friday, December 17, 2010
Amazing Word Frequency Viewer
Compare Frequency Occurrences of any word or phrase from the Middle Ages until today!
"Scholars interested in topics such as philosophy, religion, politics, art and language have employed qualitative approaches such as literary and critical analysis with great success. As more of the world’s literature becomes available online, it’s increasingly possible to apply quantitative methods to complement that research. So today Will Brockman and I are happy to announce a new visualization tool called the Google Books Ngram Viewer, available on Google Labs. We’re also making the datasets backing the Ngram Viewer, produced by Matthew Gray and intern Yuan K. Shen, freely downloadable so that scholars will be able to create replicable experiments in the style of traditional scientific discovery.
Labels:
analysis,
frequency,
lists,
research,
Text Mining,
word,
word frequency lists
Thursday, May 31, 2007
Data Mining White Paper
I address in this monograph a number of techniques for those without a great deal of training to engage in some productive methods for mining data -- from Text Mining, through Exploratory Data Analysis, to a focus on the use of Contingency Tables, using some advanced methods of text tagging.
Labels:
ArchiText,
Cross Tabulation,
data,
Data Mining,
EDA,
Text Mining
Subscribe to:
Posts (Atom)
