Editing Text mining (section)

=== Business and marketing applications ===
Text analytics is being used in business, particularly, in marketing, such as in [[customer relationship management]].<ref name="Text Analytics: The Why Behind the Score">{{cite web|url=http://www.medallia.com/text-analytics/ |title=Text Analytics |publisher=Medallia |access-date=2015-02-23}}</ref> Coussement and Van den Poel (2008)<ref name="10.1016/j.im.2008.01.005">{{cite journal |doi=10.1016/j.im.2008.01.005 |url=http://econpapers.repec.org/RePEc:rug:rugwps:08/502 |title=Integrating the voice of customers through call center emails into a decision support system for churn prediction |year=2008 |last1=Coussement |first1=Kristof |last2=Van Den Poel |first2=Dirk |journal=Information & Management |volume=45 |issue=3 |pages=164–74|citeseerx=10.1.1.113.3238 }}</ref><ref>{{cite journal |doi=10.1016/j.dss.2007.10.010 |url=http://econpapers.repec.org/RePEc:rug:rugwps:07/481 |title=Improving customer complaint management by automatic email classification using linguistic style features as predictors |year=2008 |last1=Coussement |first1=Kristof |last2=Van Den Poel |first2=Dirk |journal=Decision Support Systems |volume=44 |issue=4 |pages=870–82}}</ref> apply it to improve [[predictive analytics]] models for customer churn ([[customer attrition]]).<ref name="10.1016/j.im.2008.01.005" /> Text mining is also being applied in stock returns prediction.<ref name="Galvez2017">{{cite journal | title=Assessing the usefulness of online message board mining in automatic stock prediction systems |author1=Ramiro H. Gálvez |author2=Agustín Gravano | journal=Journal of Computational Science | volume=19 | pages=1877–7503 | year=2017 | doi=10.1016/j.jocs.2017.01.001| hdl=11336/60065 | hdl-access=free }}</ref>