https://visone.ethz.ch/wiki/index.php?title=WNA&feed=atom&action=historyWNA - Revision history2024-03-29T00:51:10ZRevision history for this page on the wikiMediaWiki 1.39.6https://visone.ethz.ch/wiki/index.php?title=WNA&diff=34&oldid=prevOrtmann: Created page with ''''Word-Network Analysis''' ('''WNA''') extracts a network from a text by interpreting the text as a chain of words and connecting ''relevant'' words within a certain ''interval'…'2010-11-30T17:46:59Z<p>Created page with ''''Word-Network Analysis''' ('''WNA''') extracts a network from a text by interpreting the text as a chain of words and connecting ''relevant'' words within a certain ''interval'…'</p>
<p><b>New page</b></p><div>'''Word-Network Analysis''' ('''WNA''') extracts a network from a text by interpreting the text as a chain of words and connecting ''relevant'' words within a certain ''interval''.<br />
<br />
Consider the following text example and take a closer look at the WNA procedure.<br />
<blockquote> The two planes crashed into the towers of the World Trade Center in New York </blockquote><br />
First of all the WNA identifies the relevant words of the text. This preprocessing step includes:<br />
<ul><dd><br />
<li> [http://en.wikipedia.org/wiki/Stemming Stemming]<br />
<li> Filtering words with a length less than a preset word length<br />
<li> Filtering [http://en.wikipedia.org/wiki/Stop_words stop words]<br />
<li> Filtering part of speech<br />
</ul><br />
The preprocessed text example could look like this:<br />
<blockquote>plane crash tower world trade center new york</blockquote><br />
In the second and final step the network is constructed. Every word of the preprocessed text constitutes a node of the network, where equal words are represented by solely one node. The connections are created by using one of the following methods:<br />
<ul><dd><br />
<li>Co-occurrence: Every word within in the same sentence is connected<br />
<li>k-Windowing: Every word is connected to the k-1 subsequent words<br />
</ul><br />
The following figures show the final network depending on the utilized method.<br />
<table><br />
<td>[[File:CoOccurence.png|thumb|300px|<div align="center">Co-Occurence</div>]]</td><br />
<td>[[File:3Windowing.png|thumb|823px|<div align="center">3-Windowing</div>]]</td><br />
</table></div>Ortmann