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
More website weirdness
Here’s something longer-lasting and weirder than Vertica’s “We sell turkeys” theme: Mark Logic, whose product is used primarily to help enterprises make their content more acceptable, doesn’t have a search engine on its own website.* Read more
| Categories: ClearForest/Reuters, Custom publishing, Mark Logic, Search engines | 7 Comments |
Are denial-of-insight attacks a threat to search logs and/or VOTC/VOTM apps?
TechTaxi points out that it’s at least theoretically possible to, by polluting the Web, pollute somebody’s web-wide information gathering. (Hat tip to Daniel Tunkelang.) They further assert this is a relatively near-term threat.
The theory can’t be denied. What’s more, bad actors have other motives to pollute the Web. For example, if they plant favorable automated comments about their own products or unfavorable about the competition’s, Voice of the Customer/Market applications will naturally be confused. And if automated reputation-checkers get more prominent, there will be a major incentive to game them, just as there has been for Google’s PageRank. So VOTC/VOTM market research tools could polluted as a side effect.
Similarly, if somebody wants to test your e-commerce site by throwing a ton of searches at it, your search logs will lose value.
But disinformation of competitors for the sake of disinformation? Or, as the article suggestions, vandalism/extortion? Off the top of my head, I’m not thinking of a serious near-term threat scenario.
| Categories: Competitive intelligence, Search engines, Spam and antispam, Voice of the Customer | 2 Comments |
Attensity update
I had a brief chat with the Attensity guys at their Teradata Partners Conference booth – mainly CTO David Bean, although he did buck one question to sales chief Jeff Johnson. The business trends story remained the same as it was in June: The sweet spot for new sales remains Voice of the Customer/Voice of the Market, while on-premise/SaaS new-name accounts are split around 50-50 (by number, not revenue).
David’s thoughts as to why the SaaS share isn’t even higher – as it seems to be for Clarabridge* – centered on the point that some customers want to blend internal and external data, and may not want to ship the internal part out to a SaaS provider. Besides, if it’s tabular data, I suspect Attensity isn’t the right place to ship it anyway.
*Speaking of Clarabridge, CEO Sid Banerjee recently posted a thoughtful company update in this comment thread.
When I challenged him on ease of use, David said that Attensity is readying a Microstrategy-based offering, which is obviously meant to compete with Clarabridge and any of its perceived advantages head-on.
| Categories: Application areas, Attensity, Clarabridge, Competitive intelligence, Software as a Service (SaaS), Text mining, Text mining SaaS, Voice of the Customer | 1 Comment |
Attivio update
I talked w/ Andrew McKay of Attivio for 2 ½ hours Thursday. I’ve also been working with some Attivio engineers on a blog search engine. I think it’s time to post about Attivio. 
Read more
| Categories: Application areas, Attivio, Enterprise search, Lucene, Structured search | 7 Comments |
Low-latency text mining in the investment market
I’m not at Gartner’s Event Processing conference, but there seem to be some interesting posts and articles coming out of it. Seth Grimes has one on Reuters’ integration of text mining and event processing, including sentiment analysis. Well worth reading. Lots more detail than I’ve ever posted on similar applications.
| Categories: ClearForest/Reuters, Investment research and trading, Sentiment analysis, Text mining | 4 Comments |
One overview of e-discovery
I just found a year-old (almost) blog post from EMC executive Andrew Cohen that succinctly lays out his view (which he believes to mainly be a consensus stance) on e-discovery. Cohen is evidently both a lawyer and a honcho in document management system vendor EMC’s Compliance Division, which is probably relevant to interpreting his outlook, in the spirit of the old Kennedy School dictum that “Where you stand depends upon where you sit.”
Highlights included:
- Information management is central to e-discovery.
- In particular, auditability (my word) is central, if you want electronic documents to hold up as evidence in court.
- Search is good enough, but it’s not the biggest issue in e-discovery.
- E-mail archiving has reached the tipping point, and is increasingly a must-have, largely for its e-discovery benefits.
| Categories: E-discovery, Enterprise search | Leave a Comment |
The layered messaging marketing model as applied to Attensity
My general layered messaging theory survived its first test against an IT vendor example – Netezza. Let’s try another, in this case a company that’s not a Monash Research client. Read more
| Categories: Attensity, Competitive intelligence, Text mining, Voice of the Customer | 3 Comments |
How good does e-discovery search need to be?
Two years ago, CEO Mike Lynch of Autonomy tried to persuade me that Autonomy was and would remain dominant in the e-discovery search market because: Read more
| Categories: Autonomy, E-discovery, Enterprise search, Search engines | 1 Comment |
The Text Analytics Marketplace: Competitive landscape and trends
As I see it, there are eight distinct market areas that each depend heavily on linguistic technology. Five are off-shoots of what used to be called “information retrieval”:
1. Web search
2. Public-facing site search
3. Enterprise search and knowledge management
4. Custom publishing
5. Text mining and extraction
Three are more standalone:
6. Spam filtering
7. Voice recognition
8. Machine translation
SPSS update
I emailed a bit with Olivier Jouve last week, and chatted with him at the Text Analytics Summit yesterday. He cited a figure of 2400 SPSS text mining users (unique user organizations). The majority of these are for a low-cost, desktop-based surveys product. But when I pressed him, he eventually gave a 500-1000 figure for actual Text Mining For Clementine users. Read more
| Categories: SPSS, Text Analytics Summit, Text mining, Voice of the Customer | Leave a Comment |
