Application areas
Posts focusing on the use of text analytics technologies in specific application domains. Related subjects include:
- Any subcategory
- (in DBMS2) Specific application areas for other analytic and database technologies
What TEMIS is seeing in the marketplace
CEO Eric Bregand of Temis recently checked in by email with an update on text mining market activity. Highlights of Eric’s views include:
- Yep, Voice Of The Customer is hot, in “many markets”; Eric specifically mentioned banking, car, energy, food, and retail. He further sees IBM backing VotC as text’s “killer app.” (Note: Temis has a history of partnering with IBM, most notably via its unusually strong commitment to UIMA.)
- Specifically, THE hot topics in the European market these days are competitive intelligence and sentiment analysis. (Note: I’ve always thought Temis got serious about competitive analysis a little earlier than most other text mining vendors did.)
- Life sciences is an ever growing focus for Temis.
- I confused him a bit with how I phrased my question about custom publishing and Temis’ Mark Logic partnership. But he did express favorable views of the market, specifically in the area of integrating text mining and native XML database management, and even volunteered that nStein appears to be doing well.
| Categories: Application areas, Competitive intelligence, Custom publishing, IBM and UIMA, Investment research and trading, Mark Logic, nStein, TEMIS, Text mining, Voice of the Customer | 1 Comment |
Business Objects-Inxight update
I’m at the Business Objects annual user conference, and had a couple of chances to talk with Inxight/text analytics folks. When I asked about areas of commercial application traction, answers were similar to those I got from Attensity and Clarabridge, but not quite the same. Specifically:
- Voice of the Customer is definitely tops.
- Some of the other applications Attensity and Clarabridge mentioned appear as well (e.g., antifraud).
- Business Objects also has a couple of customers looking at text mining as an aid to medical records, e.g. by helping to catch errors in tabular-field coding.
- There are some projects in actual investment research/analysis/trading, e.g. in correlating news announcements and stock price movements.
The Business Objects/Inxight folks also made a couple of interesting general technical points. Read more
| Categories: Application areas, BI integration, Business Objects and Inxight, Investment research and trading, Voice of the Customer | Leave a Comment |
Text mining applications as per Attensity and Clarabridge
Besides asking them technical questions, I surveyed Attensity and Clarabridge last week about text mining application trends, getting generously detailed answers from Michelle De Haaff of Attensity and Justin Langseth of Clarabridge. Perhaps the most important point to emerge was that it’s not just about particular apps. Enterprises are doing text mining POCs (Proofs of Concept) around specific apps, commonly in the CRM area, but immediately structuring the buying process in anticipation of a rollout across multiple departments in the enterprise.
Other highlights of what they said included: Read more
| Categories: Application areas, Attensity, Clarabridge, ClearForest/Reuters, Competitive intelligence, Factiva/Dow Jones, Investment research and trading, Text mining, Voice of the Customer | 3 Comments |
Nice new phrase — Voice of the Market
Michelle DeHaaff, Attensity’s VP of Marketing, just introduced me to a nice phrase — Voice of the Market, obviously related to Voice of the Customer. As Michelle put it:
We’ve also expanded into what we call Voice of the Market data – providing a combination of analysis on external and internal data
– this is how we’ve heard our customers put it:
*Customer feedback comes in many forms……when customers don’t know you are listening (blogs, public web forums) it is important to hear what they say.
*When customers purposely tell you something (via emails, in surveys, captured in customer service notes) it is not only important, but expected….
The first of those would be Voice of the Market, while the second would be Voice of the Customer.
| Categories: Application areas, Attensity, Competitive intelligence, Text mining, Voice of the Customer | 2 Comments |
David Bean of Attensity explains sentiment and other qualifiers
David Bean of Attensity is rightly one of the most popular explainers of text mining, for his clarity and personality alike. I shot a question to him about how Attensity’s exhaustive extraction strategy handled sentiment and so on. He responded with an email that contains the best overall explanation of sentiment analysis in text mining I’ve seen anywhere. Naturally, this is rolled into an Attensity-specific worldview and sales pitch — but so what? Read more
| Categories: Attensity, Comprehensive or exhaustive extraction, Sentiment analysis, Text mining, Voice of the Customer | 1 Comment |
More on text processing in CEP
StreamBase isn’t the only complex event/stream processing (CEP) vendor doing text processing. Progress Apama is as well. Stemming, fuzzy matching, and so on seem to happen all the time. But there’s also at least one case where they flat-out do sentiment analysis. Edit: I presume this is in the investment market, as that’s where most of Progress Apama’s business is. Read more
| Categories: Investment research and trading, Progress and EasyAsk, Sentiment analysis, Text mining | Leave a Comment |
Text analytics marketplace trends
It was tough to judge user demand at the recent Text Analytics Summit because, well, very few users showed up. And frankly, I wasn’t as aggressive at pumping vendors for trends as I am some other times. That said, I have talked with most text analytics vendors recently,* and here are my impressions of what’s going on. Any contrary – or confirming! — opinions would be most welcome.
*Factiva is the most significant exception. Hint, hint.
If you think about it, text analytics is a “secret ingredient” in search, antispam, and data cleaning,* and this dominates all other uses of the technology. A significant minority of the research effort at companies that do any kind of text filtering is – duh — text analytics. Cold comfort for specialist text analytics vendors, to be sure, but that’s the way it is.
*I.e., part of the “T” in “ETL” (Extract/Transform/Load).
Text-analytics-enhanced custom publishing will surely at some point become a must-have for business and technical publishers. However, it appears that we’re not quite there yet, as large publishers make do with simple-minded search and the like. In what I suspect is a telling market commentary, there’s no headlong rush among vendors to dump text mining for custom publishing, notwithstanding the examples of nStein and (sort of) ClearForest. I don’t want to be overly negative – either my friends at Mark Logic are doing just fine or else they’re putting up a mighty brave front – but I don’t think the nonspecialist publishing market is there yet. Read more
Text analytics buzzphrase of the year – “Voice of the Customer”
If there was one theme to this year’s Text Analytics Summit, it’s “Voice of the Customer.” Attensity’s pre-conference press release was about a Voice of the Customer offering. Clarabridge’s sponsored user talk was about a Voice of the Customer app. SPSS’s marketing materials emphasized Voice of the Customer. Sentiment analysis and Web/blog scraping were frequently mentioned, in contexts such as “customer care,” “reputation management,” and/or “competitive intelligence.”
But above all, it was “Voice of the Customer.” I know it’s till June, but I think we have our text analytics industry buzzphrase of the year.
| Categories: Attensity, Clarabridge, SPSS, Text Analytics Summit, Text mining, Voice of the Customer | 3 Comments |
Interesting comment thread on reputation tracking
Techcrunch blogged skeptically about Umbria’s* service, specifically its partnership with PR Newswire. The comment thread had a fair amount of pushback, largely from vendors with skin in the game.
*Note: Umbria has a non-obvious URL.
I haven’t actually spoken with Umbria — uh, guys, why not? — but they seem to have a reputation tracking service. Their niche is apparently to quantify/measure by a variety of metrics, and that’s supposedly what makes their service (and their competitors’) worthwhile. Read more
| Categories: Blogosphere, Competitive intelligence, Sentiment analysis, Social software and online media, Text mining, Text mining SaaS | Leave a Comment |
Text analytics is finally being used for investment analysis
Jay Henderson of ClearForest tells me that hedge funds are one of their more interesting growth areas. It’s about time.
I think a lot of the reason for investment firms not making more use of text analytics has been structural — Factiva, the (relatively speaking) mammoth joint venture of Reuters and Dow Jones, is forbidden by its parent companies from meeting investment firms’ needs. And that’s kind of a pity, as it’s probably the best-positioned firm to do so. It’s good to hear that the little guys are finally filling the gap.