Textalyser Highlighted on Podcast
February 9, 2011
Text analysis was mentioned by the podcast No Agenda, which is hosted by Adam Curry (professional broadcast journalist) and John C. Dovorak (technical and business columnist). The No Agenda podcast team runs certain text through Textalyzer and uses the output to identify “memes”; that is, words or phrases designed to be magnetic and persist in a conversation.
You can give Textalyser, the tool No Agenda mentioned, by navigating to http://textalyser.net/. There are two Web accessible modes. First, you can take a chunk of text and paste it into the Analysis Box on the Web page. The system will generate a report. Shown below, is a portion of the Textalyser report for one of my 2010 for fee columns.
The report generates a word frequency report, word length summary, and two, three, and four word phrase frequency reports.
The service carries this identification notice: V 1.05 help Traduction Nieruchomo?ci Magazine interactif Umarex Airsoft + Paintball. For more information about the service, you can navigate to this link and leave a message.
Stephen E Arnold, February 9, 2011
Freebie
Comments
2 Responses to “Textalyser Highlighted on Podcast”
-
- Subscribe to Beyond Search
Feature archive
News archive
-
A good one, but does not provide highlighting of the occurrences of frequent words and phrases in source text. Also phrase frequency calculation is limited.
I would recomment Textanz tool as offline alternative.
I am wondering about the process of calculation. Why with the word file and .text file of the same text did I get different results? Even the word count is different. Could you help out? Are we supposed to copy and paste whatever format or font the text is in?