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
Telling Attensity and ClearForest apart
So far as I can tell, Attensity’s strategy when the company was originally founded was rather like ClearForest’s strategy today – and vice-versa. That said, here’s where they seem to stand at this time:
- Attensity wants to make text analytics very easy to integrate into business intelligence and data mining – at the moment, they’re not too focused on the differences between those two disciplines – and is trying to deliver the best possible fact extraction consistent with that charter.
- ClearForest wants to provide really great information extraction — to the limits of what can be done without excessive knowledge engineering – and is trying to integrate as well as possible with other technologies, the better to serve the customers who need what they offer.
| Categories: Application areas, Attensity, ClearForest/Reuters, Custom publishing, Mark Logic, TEMIS, Text mining | Leave a Comment |
Mark Logic and the custom publishing business
I talked again with Mark Logic, makers of MarkLogic Server, and they continue to have an interesting story. Basically, their technology is better search/retrieval through XML. The retrieval part is where their major differentiation lies. Accordingly, their initial market focus (they’re up to 46 customers now, including lots of big names) is on custom publishing. And by the way, they’re a good partner for fact-extraction companies, at least in the case of ClearForest.
Here, as best I understand, is the story of the custom publishing business. Read more
| Categories: Application areas, ClearForest/Reuters, Custom publishing, Mark Logic, Search engines, Specialized search | 2 Comments |
Application processes in text mining – finding warning signs
Sergei Ananyan’s claim that analytic business processes involving text are still very primitive is absolutely correct. Indeed, analytic business processes have a lot of maturing to do overall. Still, there’s one area where the industry has devoted a lot of thought over the past few years, and some notion of process has emerged. This is in the finding of warning signs.
Read more
| Categories: Application areas, Text mining | 6 Comments |