There is tremendous value buried text sources such as call center and chat dialogues, survey comments, product reviews, technical notes, legal contracts... How can we extract the signal we want amidst all the noise?
Tag: Text Analytics
Amidst the growing popularity of modern machine learning and deep learning techniques, one of the biggest challenges is the ability to obtain large amounts of training data suitable for your use case. This post discusses how the analytical approach for Named Entity Recognition (NER) can help.
Word Mover's Distance (WMD) is a distance metric used to measure the dissimilarity between two documents, and its application in text analytics was introduced by a research group from Washington University in 2015. The group's paper, From Word Embeddings To Document Distances, was published on the 32nd International Conference on Machine
My local middle school publishes a weekly paper. Very recently, I noted an article in that paper regarding an expose on human trafficking overseas, "World Slavery: The Terrors Our World Tries to Forget." The eloquent article in part highlighted how children have been exploited in the fishing industry in Ghana
Maybe you’ve heard of text analytics (or natural language processing) as a way to analyze consumer sentiment. Businesses often use these techniques to analyze customer complaints or comments on social media, to identify when a response is needed. But text analytics has far more to offer than examining posts on
As a former intelligence analyst, I can't help but breathe a huge sigh of frustration. The special AI "task forces" and their massive budgets are great, but it's time to get honest about the rest of the military. Ask any every day soldier, sailor, airman or Marine their opinion of
The government has an unfathomable amount of data -- and it grows more and more each year. This puts agencies in a unique and important position to use that data for good. Whether it be improving government operations, solving some of the nation’s biggest challenges or empowering citizens in new
To demonstrate the power of text mining and the insights it can uncover, I used SAS Text Mining technologies to extract the underlying key topics of the children's classic Alice in Wonderland. I want to show you what Alice in Wonderland can tell us about both human intelligence and artificial
Recently I backed into a hotel parking spot after returning from a customer dinner. It was dark and rainy, and I was tired from traveling. My mind wandered until I heard a shrill “BEEP BEEP BEEP” coming from my rental car. I looked down at the dashboard’s rear-view camera, and
The Obama administration made great strides in improving the government’s use of information technology over the past eight years, and now it's up to the Trump administration to expand upon it. Let’s look at five possible Trump administration initiatives that can take government’s use of information technology to the next
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 –
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
A huge proportion of big data is unstructured text (such as client interactions, product reviews, call center logs, emails, blogs and tweets). Organizations starting to invest in advanced analytics often overlook the value text analytics could add to the process. But when data scientists or analysts get to work exploring
I’m an avid open water swimmer. In order to succeed in open water races I must do two things: I must sight properly in order to swim the straightest line possible in the right direction. The straighter the line, the less I have to swim. I must use a powerful,
When a person feels sufficiently wronged to lodge a complaint with the Consumer Financial Protection Bureau (CFPB), there’s likely to be some negative sentiment involved. But is there a connection between the language they use and the likelihood they will be compensated by the offending company? At the upcoming Sentiment
Most folks who know me, know I'm a bit of a Star Wars geek. I've analyzed the original trilogy scripts and documented my findings in a paper called Star Wars and the Art of Data Science. I'm always looking for excuses to get my hands into Star Wars data, and
Small causes can have large effects; or how a discovery in the Barnett Shale can spike some interest in the rest of the world and change the face of the industry. This article is co-written by Sylvie Jacquet-Faucillon, Senior Analytics Presales Consultant, SAS France; and David Dozoul, Senior Adviser
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
Don’t get me wrong. I have no doubt in the capabilities of our SAS products and SAS solutions! But I wanted to get a firsthand experience of our new solution for text analytics, SAS Contextual Analysis 14.1. And the result is very convincing! But let’s start from the beginning. Functions
This is the first of two articles looking at how to listen to what your customers are saying and act upon it – that is, how to understand the voice of the customer. Over the last few years, one of the big uses for SAS® Text Analytics has been to
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
Hi, there! First of all, let me introduce myself, as this is my first blog. I am Simran Bagga, and three weeks ago I became the Product Manager for Text Analytics at SAS. This role might be new to me, but text analytics is not. For the past 12 years,
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.
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,
Wer es von Ihnen, liebe Leser, bis hierhin geschafft hat, herzlichen Glückwunsch! Und auch vielen Dank an die Engel, denn die rackern sich gerade ganz schön ab. Während wir uns innerlich auf den 24. Dezember vorbereiten und gemütlicher werden, drehen die Engel nochmals richtig auf. Heute überführt ein Algorithmus ein
Did you know that Tuesday, Nov. 24, was #ThankfulTuesday? This themed day was just two days before Thanksgiving and joined the ranks of newly invented opportunities such as #WorldPastaDay and #NationalMotherInLawDay to collectively post on social media about a single topic. Appropriate to the season of giving thanks, many people
Wie angekündigt traf das Christkind gestern unseren Einzelhändler. Er hielt es tatsächlich für eine außerirdische Erscheinung. Er ist ja ein Mann der Menschentat. Er ist einer, der viel von Text Analytics und Net Promoter Scores hält. Texte und deren Analyse sind die eigentliche Religion vom Einzelhändler M. Hier geht zu den Türchen
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,
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,
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.