Tag: Text Analytics

Analytics | Machine Learning
Fabian Buchert 0
Ein Wahlkampf mit Trumpf – mit Textanalytics verstehen was eigentlich gemeint ist

Mal ehrlich, wenn ich Sie fragen würde, worüber die Kandidaten im diesjährigen US-Wahlkampf in ihren Aufeinandertreffen debattiert haben – welche Kernthemen würden Sie mir spontan (abseits von Skandalen und Affären) nennen? Und könnten Sie diese Kernthemen den einzelnen Kandidaten zuordnen? Als ich mir diese Frage stellte, war die Antwort –

Dr. Biljana Belamaric Wilsey 0
Presidential election quiz

With the first debate between the two candidates behind us and the culmination of the US presidential election drawing near, who wouldn’t love to predict the winner? I don't have a crystal ball, but I do have the power of unstructured text analytics at my fingertips. With the help of

April Fools' Text-oku

April 1st is known as April Fools’ Day. We could have chosen to celebrate a number of events that happened on this date. In the U.S. alone, it could have been the creation of the “$” symbol (1778), the marketing of the first dishwashing machine (1889), the first U.S. national

Machine Learning
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Cognitive Computing - Part 1

Is cognitive computing an application of text mining? If you have asked this question, you are not alone. In fact, lately I have heard it quite often. So what is cognitive computing, really? A cognitive computing system, as stated by Dr. John E. Kelly III, is one that has the

Toby Text 0
TobyText wünscht Ihnen ein frohes neues Jahr

Das turbulente Jahr 2015 hat für Sie hoffentlich einen friedlichen Ausgang gefunden und auch ein Sie zufriedenstellendes Abschlussergebnis. Nachdem ich Ihnen für die Weihnachtsfeiertage aus meiner kompositorischen, malerischen SAS-Bastel-Programm-Bibliothek Anregungen zu Entspannung für besinnliche Momente zum Jahreswechsel anbieten konnte, sind nun im Januar 2016 alle Jahreszähler wieder auf Null zurückgesetzt.

Machine Learning
Christina Engelhardt 0
Come chat with us!

In today’s world of instant gratification, consumers want – and expect – immediate answers to their questions. Quite often, that help comes in the form of a live chat session with a customer service agent. The logs from these chats provide a unique analysis opportunity. Like a call center transcript,

Russ Albright 0
Focusing your Text Mining with Search Queries

Recently, I have been thinking about how search can play more of a part in discovery and exploration with SAS Text Miner. Unsupervised text discovery usually begins with a look at the frequent or highly weighted terms in the collection, perhaps includes some edits to the synonym and stop lists,

Tuba Islam 0
Widening the use of unstructured data

Analyzing text is like a treasure hunt. It is hard to tell what you will end up with before you start digging and the things you find out can be quite unique, invaluable and in many cases full of surprises. It requires a good blend of instruments like business knowledge,

Gerhard Svolba 0
SAS Contextual Analysis: ein Selbstversuch

Erfahrungen aus einem Selbstversuch mit SAS Contextual Analysis Bitte verstehen Sie mich nicht falsch. Ich bin unseren SAS Produkten und SAS Lösungen gegenüber in keinster Weise misstrauisch! Trotzdem wollte ich die Möglichkeiten unserer neuen Lösung für Text Analytics „SAS Contextual Analysis 14.1“ auf der eigenen Haut spüren und verstehen lernen.

David Pope 0
Saving lives with big data and analytics

Big data is here to stay, whether we like it or not. Regardless of how you feel about it, it can help solve problems which simply could not be addressed without big data and advanced analytics. One area in which big data and analytics can provide huge benefits is the medical arena. In a recent

Machine Learning
Andrew Pease 0
Towering Insights

The benefits of big data often depend on taming unstructured data. However, in international contexts, customer comments, employee notes, external websites, and the social media labyrinth are not exclusively written in English, or any single language for that matter. The Tower of Babel lives and it is in your unstructured

Machine Learning
Sascha Schubert 0
What’s new with machine learning?

Machine learning is all about automating the development process for analytical models. One way to extend the use of machine learning is to broaden your library of machine learning algorithms. Another way is to scale your machine learning process by reducing the time required to process machine learning algorithms on

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