SPSS
Analysis of data mining/predictive analytics vendor SPSS’s efforts in text mining.
- Text mining
- (in The Monash Report) Data mining
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 |
Predictive analytics vendors’ text mining sophistication
Steve Gallant of KXEN contacted me over the summer to show me KXEN’s new text mining capability. It was pretty basic bag-of-words stuff, which is still a lot better than nothing, and actually fits pretty well with KXEN’s general simplicity-centric strategy.
This inspired me to check whether there had been any big changes in text mining capabilities at SAS or SPSS. It turned out there hadn’t. SAS is also still on the bag-of-words level. SPSS, however, does do sentiment analysis (pretty obvious, considering their focus on surveys and the like) and negation.
Thanks go out to Mary Crissey and Olivier Jouve for getting back to me when I asked, along with apologies for taking a while to post what they told me.
| Categories: SAS, SPSS, Sentiment analysis, Text mining | Leave a Comment |
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 |
More on free-form text surveys
I’m a huge fan of the idea that companies should deliberately capture as much information as possible for analysis. In the case of text, since I personally hate structured survey forms, I believe that free-form surveys have the potential to capture a lot more information than traditionally Procustean abominations do. SPSS indicated that there’s indeed some activity in this regard.
I found another example. Read more
| Categories: ClearForest/Reuters, SPSS, Text mining | Leave a Comment |
The current state of text mining/analytics marketing?
One thing that didn’t go so well at the Text Analytics Summit was the marketing panel. Indeed, when we wracked our brains afterward, Mary Crissey (who was on the panel) and I could only think of a single observation that was actually made about marketing. Namely, she referred to a core truth of marketing: Just selling features doesn’t work (nobody cares). Just selling benefits doesn’t work (you’re not differentiated). What you have to do is sell the connection between your features and desirable benefits.
So I’m going to try to gather some useful observations on marketing here, filling the gap that the panel left. Key questions I’d love input on include:
1. Which feature-benefit connections do you see customers easily accepting?
2. Which feature-benefit connections is it harder to get them to believe?
3. How are customers defining text analytics market segments?
4. What do they see as the key issues in each segement?
5. Which application areas are showing growth even beyond that of the market overall?
I’m particularly interested in comments from the larger vendors that are selling into multiple parts of the text mining and text analytics market. But everybody else’s input would be warmly appreciated too.
The comment thread to this post is open for business!
| Categories: SAS, SPSS, Text Analytics Summit, Text mining | 6 Comments |
Data capture for the sake of text mining
One of the major factors driving successful use of advanced analytic tools is direct initiatives to procure more data. The single best example I can think of is the gaming industry’s use of otherwise-contrived loyalty cards; improved marketing based on that data at chains like Harrah’s seems to produce upwards of 100% of total profits.
So can we apply the same approach to text mining? One place would be surveys. Rather than those annoying, contrived forms demanding we fill in a lot of choices as if we were taking the SATs all over again, maybe users would be more revealing if they could just write whatever they wanted? The obvious firm to ask is SPSS, which is big both in surveys and text mining, not to mention the intersection of the two markets. So I emailed Olivier Jouve, and he shot back an answer from an airport. Read more
| Categories: SPSS, Text mining | 2 Comments |
