Dealing with a Flood of Text in a Regulated World
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Vacation Season Is Sentiment Season For Hospitality Industry


August is get-away month, so the hospitality industry should start gearing up for what happens when all those travelers get back home….and start to record their impressions of the properties at which they stayed across the social media landscape


San Francisco’s Sentiment Analysis Symposium Spotlights Industry Visionaries


Attention all marketers, market researchers, analysts, and the like! If you’re in the mood to learn and schmooze in San Francisco’s autumnal sunshine, this year’s Sentiment Analysis Symposium — taking place in early November — features in-depth discussions on sentiment analysis of enterprise, online, and social content.


Good! Wunderbar! Magnifique! – Etuma Collects And Analyzes Customer Feedback


With the advent of social media customers today have multiple channels to express how they feel about a product or service. But how can companies efficiently capture all such comments to derive overall trends and meanings?


Hotel Ratings Get Sentimental


Viva Las Vegas! And if I’m “viva-ing” Las Vegas, I’d stay at the luxurious Bellagio. So why, when comparing the Bellagio to the like of Bally’s on TripAdvisor, did Bally’s have a higher score? It seems mind-boggling to me and made Lexalytics, who generated TripAdvisor’s online review scores, scratch there collective heads as well. In the Forbes article “Text Analytics Show Why Bellagio Underperforms Bally’s” Lexalytics went beyond the score and analyzed the actual text of the reviews to get some answers.


Text Analytics Show Why Bellagio Underperforms Bally’s


Algorithmic trading on the news (see Deutsche Bank story below), measuring responses to political speeches and figuring out why the Bellagio underperforms Bally’s, are all part of the work Lexalytics performs through analyzing text in news stories and social media.


The Next Web: An Interview with Lexalytics: Understanding text analytics technology


A few weeks ago I received a pitch saying that Lexalytics, a B2B provider of sentiment and text analytics technology, powering brand and reputation management tools such as Radian6 and Scout Labs, had recently upgraded their Salience product by digesting all of Wikipedia to come up with their patent-pending technology, Concept Matrices.


El código detrás del tuit (El Pais: The code behind the tweet)


En el reino de tuitilandia cada día se envían algo más de 50 millones de tuits (frente a 200.000 millones de correos electrónicos). A 140 caracteres por tuit, equivale aproximadamente al contenido de un disco de siete gigabytes. Un marasmo de mensajes cortos, la mayoría irrelevantes, inconexos en su conjunto, dedicados a la comunicación de un instante.


USA Today: Wall Street traders mine tweets to gain a trading edge


To gain a trading edge, Wall Street traders are now using clever computer programs to monitor and decode the words, opinions, rants and even keyboard-generated smiley faces posted on social-media sites like


Lexalytics Leverages the Human Element of Wikipedia


Whether you embrace or scorn Wikipedia as a reference, there is at least one good use for it, according to Lexalytics. “Lexalytics Analyzes Wikipedia to Understand How Humans Think” describes the rewards of their idea for an alternative function for the user-edited online dictionary.


Lexalytics Chows Down on Wikipedia To Improve Text and Sentiment Analytics


Lexalytics, whose text and sentiment analytics engine underpins media monitoring solutions from vendors such as Radian6 (the recent acquisition target of and Scout Labs, has a new version of its Salience software that digested every bite of knowledge inside Wikipedia and built an understanding of the relationships between words and meaning to deliver its new Concept Matrix and dependent capabilities such as Facets and Collections.


Lexalytics Analyzes Wikipedia To Understand How Humans Think


Concepts extracted from the community created encyclopedia can be used to improve analysis of documents and sentiment in social media.


Lexalytics Evolves to Semantic Technology


Lexalytics, Inc. has announced a major upgrade to its Salience product, bringing semantic features to the forefront.

Sys-Con Media brought this news to our attention in their article, “Lexalytics Announces Salience 5.0, an Evolution in Semantic Understanding.” Lexalytics has created Concept Matrix by digesting the entire human generated encyclopedia, Wikipedia®. This was done to help the software understand the complex relationships between words and meaning – the core of semantic technology.


Lexalytics Digests Wikipedia, Sees Text Analysis Markets Broaden to Include Search, Travel, Law


You can learn a lot from Wikipedia, despite all its faults—and Jeff Catlin’s company has done just that.

Boston-based Lexalytics said today that its latest text-analysis software incorporates insights from combing through Wikipedia’s entire user-generated online encyclopedia for relationships between words, phrases, and their meanings.


4 Questions about Sentiment and Text Analytics for Jeff Catlin, CEO, Lexalytics


Jeff is appearing on the “Visionaries” panel at the Sentiment Analysis Symposium on April 12. I’ve corresponded with Jeff for several years and always find his thoughts and guidance insightful and provocative. We’ll finally meet at the panel, and I’m looking forward to it.


MediaVantage and Lexalytics Announces Addition Of Multi-Language Sentiment Analysis To Media Monitoring Software


North American organizations can now keep track of online news, blogs and social media in multiple languages using MediaVantage, a web-based application for media intelligence and public relations


The Semantic Web Gets Down to Business


Semantic technologies can “make search engines better or more precise in finding relevant content,” says Moulton. So if your company operated a retail Web site, that would mean that semantically-enabled searches would do a better job of leading shoppers to your site and then helping them find products they want to buy.


Wall St. Computers Read the News, and Trade on It


The number-crunchers on Wall Street are starting to crunch something else: the news.

Math-loving traders are using powerful computers to speed-read news reports, editorials, company Web sites, blog posts and even Twitter messages — and then letting the machines decide what it all means for the markets.


My Feelings About Sentiment Analysis


Growth in visibility, acceptance, and adoption of automated sentiment-analysis solutions has been fueled by vendor innovations and by positive customer experiences, reports Elizabeth Glagowski in 1to1 magazine. Liz interviewed me for her article, and with her permission, I will share the full text of our exchange with readers…


Sentiment Analysis Feels Its Way Forward


A bit of controversy regarding sentiment analysis is playing out. A techno-skeptic blogger clique asserts that automated sentiment analysis is so inaccurate as to render automated methods worthless. Others differ with them: we like automation. Newly joining us are some of the skeptics’ own kind, critics such as “Measurement Queen” K.D. Paine…


Expert Analysis: Is Sentiment Analysis an 80% Solution?


Sentiment-analysis technologies aren’t perfect. But what critics are missing is the value of automation, the inaccuracy of human assessment, and the many applications that require only “good-enough” accuracy.


Lexalytics Moves to Boston to Exploit New Market for Sentiment Analysis



Ex-Cisco Project Lead Builds Cloud Computing Reputation Management System



The People’s Text Analytics Software



How Text Analytics Drive Customer Insight


Companies such as JetBlue have used it to mine e-mails and other customer feedback for insight.


Tweeting for Dollars