Editing Text mining (section)

== Implications ==
Until recently, websites most often used text-based searches, which only found documents containing specific user-defined words or phrases. Now, through use of a [[semantic web]], text mining can find content based on meaning and context (rather than just by a specific word). Additionally, text mining software can be used to build large dossiers of information about specific people and events. For example, large datasets based on data extracted from news reports can be built to facilitate social networks analysis or [[counter-intelligence]]. In effect, the text mining software may act in a capacity similar to an [[intelligence analyst]] or research librarian, albeit with a more limited scope of analysis. Text mining is also used in some email [[spam filter]]s as a way of determining the characteristics of messages that are likely to be advertisements or other unwanted material. Text mining plays an important role in determining financial [[market sentiment]].