Voice of the Customer/Market is indeed where the action is
I was at the Text Analytics Summit yesterday. After the sessions and theoretically* before the drinks, there was a group of subject- or industry-specific “roundtables.” The three best-attended roundtables by far — each with at least 20% of the total roundtable attendees — were on “Voice of the Market”, “Competitive Intelligence”, and “Sentiment Analysis”. (Yes, those are in practice pretty close to being the same thing.) Thus, over half of the show attendees who voted with their feet on a particular subject area of interest picked one in the customer/marketing area. Read more
| Categories: Application areas, Competitive intelligence, Sentiment analysis, Text Analytics Summit, Text mining, Voice of the Customer | 6 Comments |
Attensity update updated
I chatted a bit with Attensity’s CTO David Bean and sales VP Jeff Johnson yesterday at the Text Analytics Summit. Jeff confirmed what has colleagues had already told me — most of the action is now in Voice of the Customer/Market, he expects a very strong June quarter, etc. But one thing I posted last week wasn’t quite right. Hosted implementations (i.e., SaaS) haven’t yet reached the 50% level at Attensity. However, they are indeed growing fast, and they’re all (or almost all) in the Voice of the Customer/Market area.
| Categories: Attensity, Competitive intelligence, Software as a Service (SaaS), Text Analytics Summit, Text mining, Text mining SaaS, Voice of the Customer | 4 Comments |
How text search has evolved over the past 15 years
I just stumbled across a brilliant summary of evolution in text search technology, written four years ago. It’s equally valid today (which in itself says something). I found it on the Prism Legal blog, but the actual author is Sharon Flank. My own comments are interspersed in bold. Read more
| Categories: Enterprise search, Ontologies, Search engines, Structured search | Leave a Comment |
How much linguisitic sophistication is needed in Voice of the Customer/Market applications?
According to Attensity CTO David Bean:
- Voice of the Customer/Market applications require less linguistic sophistication than other text mining applications.
- Hence, Voice of the Customer/Market apps are easier to get running than other text mining applications, which he conjectures is a big part of the reason for burgeoning sales.
I’m guessing most text mining vendors would agree with those views, although they might not agree with his elaborations, which include: Read more
| Categories: Application areas, Attensity, Competitive intelligence, Expert System S.p.A., Sentiment analysis, Text mining, Voice of the Customer | 1 Comment |
Expert System S.p.A. update
I chatted with Brooke Aker, the new CEO of Expert System’s US subsidiary, for quite a while last week. Unfortunately, we had some cell phone problems, and email followup hasn’t gone well, so I’m hazy on a few details. But here are some highlights, as best I understood them. Read more
| Categories: Application areas, Competitive intelligence, Coveo, Expert System S.p.A., Ontologies, Text mining | 2 Comments |
5 ideas for how to pick between Attensity and Clarabridge
Jim D. of UPS asked in the comment thread to the recent Attensity update post how one should decide between Attensity and Clarabridge. I wrote an answer, and then decided to just split it out in a separate post. Here are five ideas about how to pick between Attensity and Clarabridge for the kind of Voice of the Customer/Market application both companies are focusing on.
1. Attensity is the older company than Clarabridge, and is good at more things. Is Clarabridge really good at everything you want them to be?
2. In particular, Attensity has more overall sophistication at linguistic extraction. Do any of the differences matter to you?
3. Both companies are working hard on ease of use, for multiple kinds of user (business user tweaking linguistic rules, IT user, etc.). Whose approach and feature set do you like better?
4. Usually, buying one of these products involves some professional services. Whose organization do you like better?
5. Attensity’s default database schema for its exhaustive extraction is pretty flat and normalized, as befits a happy Teradata partner. Clarabridge’s is more of a star schema, as befits a bunch of ex-Microstrategy guys. Either can be straightforwardly translated into the other, so you may not care — but do you?
| Categories: Attensity, Clarabridge, Competitive intelligence, Comprehensive or exhaustive extraction, Text mining, Voice of the Customer | 4 Comments |
Is text analytics a good technology career path for humanities majors?
One of the major dilemmas facing a group of people we all know is: How can humanities majors make money? Sure, they can become lawyers. And they can join the tech industry and write documentation. But what else?
Well, what about text analytics? Much of what I know about natural language processing (NLP) I learned from my friend Sharon Flank, who I met when she was a Slavic Linguistics PhD student at Harvard. My partner in first figuring out search engines — and later in running Elucidate — was my wife Linda Barlow, a 15-times-published novelist who’s also taught English at the college level. And Olivier Jouve’s education is in paleontology, although whether or not that’s a humanity is a sort of borderline definitional issue.
So I ask you all: Is text analytics a fruitful area for humanities majors to find lucrative careers? All insight would be appreciated. If the news is good enough, I’ll do my part in publicizing it to university placement offices and the like. Read more
| Categories: Attensity, Clarabridge, Jobs and careers | 5 Comments |
Attensity update
I chatted recently with David Bean, Attensity’s CTO, and then with marketing exec Phil Talsky. Highlights included: Read more
| Categories: Application areas, Attensity, Clarabridge, Competitive intelligence, Software as a Service (SaaS), Text mining, Text mining SaaS, Voice of the Customer | 6 Comments |
When just-in-time electronic documentation is a really good idea
Mark Logic basically makes an XML DBMS – confusingly called Marklogic without a space – optimized for document processing (including text search). Mark Logic’s main market is custom publishing – assembling documents on the fly, whether based on search or some other starting point.
Airlines put Marklogic to an interesting use: They create “electronic flight bags.” Apparently, flight crews typically carry a whole satchel of documents (flight bags) onto a plane, the precise contents of which frequently vary. Marklogic lets these be automatically generated in electronic form.
Well, in recent news it turns out that a $1.4 billion B-1 bomber crashed because a known prudent take-off/maintenance procedure hadn’t been followed. (Something about heating the components to evaporate water that otherwise destroyed the electronics.) This plane-saving had been discovered, but not propagated to all bases and maintenance crews responsible for the B-1. You think something like Marklogic might have helped? Read more
| Categories: Application areas, Custom publishing, Mark Logic | 2 Comments |
Clarabridge’s customer-experience applications
I talked with text mining SaaS vendor Clarabridge’s CEO Sid Banerjee today. Part of the call covered applications and markets for Clarabridge’s technology. Highlights included: Read more