Friday, 25 of May of 2012

The very, very first Social Media Analytics Summit

This week I have been in San Francisco for the very first Social Media Analytics Summit. It was a lively event with lots of solid content, well worth the cross-country trip.

One of my favorite presentations was a panel discussion on the biggest arguments in social media, with Susan Etlinger of Altimeter Group, Lisa Joy Rosner of Netbase and Catherine van Zuylen of Attensity. The experts spoke their minds on touchy topics. I wish I could remember the exact words that Susan Etlinger used to introduce her pet concerns about social media, as near as I can remember, she called them “the four social media myths of the apocalypse:” sentiment, influence, reach and engagement. All popular, and all very elusive measures.

I gave a talk – “Capitalize on Multi-lingual Text Analytics,” a topic which was suggested by Ezra Steinberg, who organized this conference. It was the only talk at this conference on working with languages other than English. At last years’ Text Analytics World in New York, not one presentation was devoted to non-English text. Next week I’ll be in London for Text Analytics Summit Europe, you can bet on a different story there!


Leave a comment

Upcoming presentations

Social Media Analytics Summit, April 17-18, San Francisco
Capitalize on Multi-lingual Social Media Analytics

European Text Analytics Summit, April 23-24, London
Cross-lingual Text Analytics: A New Frontier in Linguistic Technology

Chicago Web, Game and Social Media Analytics Group, May 2, Chicago Free!
Crossing the Language Chasm: Extracting Information from Foreign-Language Text

Predictive Analytics World, June 25-26, Chicago
Cross-Language Text Analytics: Overcoming Language Barriers


The STEM Profession that Women Dominate

Posted a new piece on Smart Data Collective earlier this week – “The STEM Profession that Women Dominate.”

Hint – it’s a profession near and dear to my heart, and if you’re reading this – yours, too.


Text Analytics Market Study

If you’re involved, or interested in, text analytics, you should read Text/Content Analytics 2011: User Perspectives on Solutions and Providers, a market study written by Seth Grimes of Alta Plana. Information like this is hard to come by, and if you can find it at all, it’s often expensive, but this reports is free.

My big takeaway from the report – most users of text analytics today are not yielding positive ROI. That’s shameful! The lesson for me as one who works in the industry is that I have a responsibility to help promote profitable use of text analytics – that includes encouraging users to plan for profit, measure, test and learn to use text analytics tools well.


Leave a comment

Where the girls are

Who says women are a minority in science, technology, engineering and math (STEM)? Well, if you put it that way, I do, and so do lots of others. And there’s data to support that claim.

But those fields are not all one homogeneous block. As I’ve written before, the worst of the lot is computer sciences, where the proportion of women has been dropping for more than two decades.

But I know which STEM field has women galore. Do you? I just wrote an article about it – will post next week.


Leave a comment

Planning for ROI in Text Analytics

New article on Smart Data Collective now, Planning for ROI in Text Analytics.


Stuff I learned from my web stats

Visits have increased by nearly a factor of ten since I added a blog to the site.

Pre-blog, activity varied little by time of day. Post-blog, there’s a clear spike in activity when posts appear in the morning.

A lot of people visit my site using the links left with comments on other sites.

Google’s spiders crawl the site with amazing frequency! (You’d think I was CNN or something.)

There was a dramatic spike in visits on February 28. (I have no idea why.)

Someone found me by searching for the term “douchegrammer.” (Wonder if he or she was pleased or disappointed?)


Leave a comment

Text analytics glossary

I’ve been working on a glossary for text analytics terms, still have some work to do on that. Let me know if there are particular terms you’d like to see included.

In the meanwhile, here’s one from the folks at Clarabridge.


Leave a comment

Absolut gets it, the tech community doesn’t.

Demi Moore appeared pregnant and bare on the cover of Vanity Fair magazine. The image was both stunning and beautiful, and it drew a lot of attention.

In a meeting with advertising client Absolut, Vanity Fair proposed an ad for the vodka maker’s famed art series. In it, the iconic vodka bottle form would appear painted onto the back of a woman. The presentation even featured a live model, undraped to reveal her advertising-adorned skin. Absolut’s reaction? “You know how many letters we’ll get from the women’s movement? How degrading this is to women?” Vanity Fair countered by pointing out the positive response to the Demi Moore cover. Absolut’s people stood their ground, pointing out that there was a difference between editorial use of nudity and using nudity “in a commercial way.” That was nearly twenty years ago, so you’d think everybody would get it by now.

In the past few days, there has been a lot of discussion in the tech community about a video featuring a dancing woman wearing a tech company t-shirt and not much else. One woman says she emailed the tech company a month ago objecting to the video, but got no response. Last week, another woman tweeted her strong objections. She certainly got a response! A stream of tweets
called her unprofessional, her language inappropriate, and even accused her of damaging her employer’s brand. That brand was a CUSTOMER of theirs, how stupid could they get? In the end, the tech company made an unconvincing apology.

Absolut gets it, these guys don’t.

Among the many comments left on the many blogs discussing this, I took note of one from a man who says that if the video had featured a ripped man dancing in the t-shirt, that would not bother him. But it’s never, ever a man.

It also amused me to see any man in tech suggest that profanity equates to lack of professionalism. The tech community’s baseline vocabulary drips with profanity. I went to engineering school with army, navy and merchant marine men, and their language was angelic by comparison with what I hear at the average coders’ meetup these days.

The reputation of that company and the men who lead it has been damaged this week. If only these men had trusted one woman mentor or staff member or one male mentor or staff member who got it the way that Absolut gets it, they could have steered clear of this incident altogether. If only they would have taken the first email objecting to the ad seriously, they could have minimized the impact. Failing those, they should at least have known enough not to start telling off an angry, self-confident woman on twitter, but they didn’t.

I won’t say where their heads must have been, but it must be pretty dark in there.


Sentiment Map Rendering

ESRI is the 800 pound gorilla in the world of maps. Back when I worked for an equally weighty analytics software vendor, I was deeply jealous that a competitor had a partnership with ESRI, while my company partnered with – how shall I put this – a lesser mapping vendor. Our maps stunk, while ESRI’s maps were functional and cool.

Now, through my text analytics work with LinguaSys, I have the good fortune to partner with ESRI to bring text analytics and mapping together. ESRI’s Mansour Raad has been creating functional and cool geographic visualizations of sentiment, and he’s bringing them to the world. Next week he’ll be speaking at ESRI Developer Summit, inspiring fellow developers with a new example that we created – a visual study of sentiment toward the US Transportation Security Administration (TSA).

So often sentiment analysis ends up as a simple pie or bar chart – what percent like my brand, what percent hate it? That type of analysis doesn’t give the client any basis for action. Instead, imagine putting open-ended comments – from surveys, social media, service requests, and other sources – on a map. And enhancing the data with analytics – not limited to simple positive/negative, but with subtleties such as whether the writer is using indicators of disapproval or emotion, obscenities or even references to Nazism. Imagine using color, interactive behavior and other indicators to visualize and identify meaningful patterns in the data. It’s pretty, but it’s more than pretty. Done right, this kind of visualization enables decision makers to derive actionable information.

Read more about Mansour Raad’s work in his post, Enter the Fifth Dimension; Sentiment Map Rendering