March 27, 2013
For a simple explanation of content enrichment, there is Web CMS Content Enrichment with OpenCalais, Crafter Rivet and Alfresco, on Rivet Logic Blogs. Content enrichment, the art of mining data and adding value to it, has now been organized by such services as OpenCalais, a free resource of semantic data mining from Thomson Reuters. For use on your blog, website or application, OpenCalais’s mission is to make “the worlds content more accessible.” The article explains,
“A few examples of content enrichment include: entity extraction, topic detection, SEO (Search Engine Optimization,) and sentiment analysis. Entity extraction is the process of identifying unique entities like people and places and tagging the content with it. Topic detection looks at the content and determines to some probabilistic measure what the content is about. SEO enrichment will look at the content and suggest edits and keywords that will boost the content’s search engine performance. Sentiment analysis can determine the tone or polarity (negative or positive) of the content.”
The tutorial on using OpenCalais with Crafter Rivet’s operating platform offered in this article is short and straightforward. Without tools like OpenCalais, the huge advantages of content enrichment for author and content managers would take countless hours. The resources available can save time while improving the effectiveness of content.
Chelsea Kerwin, March 27, 2013
March 20, 2013
Antonio S. Valderrábanos, founder of Bitext, recently granted an exclusive interview to the Arnold Information Technology Search Wizards Speak series. Bitext provides multilingual semantic technologies, with probably the highest accuracy in the market, for companies that use text analytics and natural language interfaces. The full text of the interview is available at http://www.arnoldit.com/search-wizards-speak/bitext-2.html.
Bitext provides B2B multilingual semantic technologies with probably the highest accuracy in the market. Bitext works for companies in two main markets: Text Analytics (Concept and Entity Extraction, Sentiment Analysis) for Social CRM, Enterprise Feedback Management or Voice of the Customer; and Natural Language Interfaces for Search Engines and Virtual Assistants. Visit Bitext at http://www.bitext.com. Contact information is available at http://www.bitext.com/contact.html.
Bitext is seeing rapidly growth, including recent deals with Salesforce and the Spanish government. The company has added significant and important technology to its multilingual content processing system.
In addition to support for more languages, the company is getting significant attention for its flexible sentiment analysis system. Valderrábanos gave this example: “flies” may be a noun, but also a verb. We say “time flies like an arrow” versus “fruit flies like bananas.” Bitext believes computers should be able to parse both sentences and get the right meaning. With that goal in mind, they started the development of an NLP (natural language processing) platform flexible enough to perform multilingual analysis just by exchanging grammars, not modifying the core engine.
He told ArnoldIT’s Search Wizards Speak:
Our system and method give us a competitive advantage with regards to quick development and deployment,” Valderrábanos said. “Currently, our NLP platform can handle 10 languages. Unlike most linguistic platforms, the Bitext API ‘snaps in’ to existing software.
Bitext’s main area of research is focused on deep language analysis, which captures the semantics of text. “Our work involves dealing with word meanings and truly understanding what they mean, interpreting wishes, intentions, moods or desires,” Valderrábanos explained. “We just need to know what type of content, according to our client, is useful for her business purposes, and then we program the relevant linguistic structures.” He added:
Many vendors advocate a ‘rip and replace’. Bitext does not. Its architecture allows our system to integrate with almost any enterprise application.”
Bitext already delivers accuracy, reliability and flexibility. In the future, the company will be focusing on bringing those capabilities to mobile applications. “IPads, tablet devices in general, and mobile phones are becoming the main computing devices in a world where almost everybody will be always online. This opens a new whole arena for mobile applications which will have to cater for any single need mobile users may have,” Valderrábanos said.
Donald C. Anderson, March 20, 2013
March 19, 2013
We are constantly on the lookout for movers and shakers in the area of text analysis and sentiment analysis. So, I was intrigued when I came across Semantria’s Web site recently, a company claiming text and sentiment analysis is made fast and easy with their software. With claims to simplify costs and high-value capturing, I had to research further.
The company was founded in 2011 as a software-as-a-service and services company, specializing in cloud-based text and sentiment analysis.The team boasts a foundation from text analytics provider Lexalytics, software development Postindustria, and demand generation consultancy DemandGen.
The company page shares about how its software can give insight into unstructured content:
“Semantria’s API helps organizations to extract meaning from large amounts of unstructured text. The value of the content can only be accessed if you see the trends and sentiments that are hidden within. Add sophisticated text analytics and sentiment analysis to your application: turn your unstructured content into actionable data.”
Semantria API is powered by the Lexalytics Salience 5 analytics engine and is fully REST compliant. A processing demo is available at at https://semantria.com/demo. We think it is well worth a look.
Andrea Hayden, March 19, 2013
February 26, 2013
Semantria LLC has announced the launch of its sentiment analysis add-in for Microsoft Excel. This is important because it brings a new facet to the already worldwide software by adding not only sentiment analysis but query based categorization to the fold.
“Semantria Introduces The Unique Excel Add-In 2.0 With Advanced Functionality and New Capabilities,” pretty much lays it on the line for consumers. Powered by Lexalytics technology, Semantria’s text analysis REST API will be able to identify the polarity of a document as well as break it down for separate sentiment signals for each theme, keyword, category and query.
“David Henzel, VP Marketing at NetDNA, explains “We use Semantria’s sentiment analysis for our customer survey and social media analytics, and get great results back in seconds.” And, he adds, “The best part is it runs in one of the world’s most common user environments: Microsoft Excel.””
Sentiment analysis is a pretty cool concept that has already been utilized by many well known social media sites, perhaps none so much as Twitter. Sentiment analysis allows for an intelligence analysis of human feeling through a document.
The question is how well will this add-in translate with Excel? Will it be a match made in heaven or will it be a disaster on a platter? I tend to lean toward the former. Being able to utilize sentiment analysis for query purposes is unique and appealing to mass audiences.
Leslie Radcliff, February 26, 2013
January 1, 2013
Semantria is a text analytics and sentiment analysis solutions company. In order to reach a new clientele as well as work with companies with an international base, “Semantria Announces Content Classification and Categorization Functionality in 5 Languages.” Semantria now speaks English, Spanish, French, German, and Portuguese.
To power its categorization functionality, Semantria uses the Concept Matrix. It is a large thesaurus that used Wikipedia in its beta phase. After digesting Wikipedia, the Concept Matrix created lexical connections between every concept within it. Semantria developed the technology with Lexalytics and the Lexalytics Salience 5 engine powers the Concept Matrix. The Concept Matrix is a one of a kind tool that organizes and classifies information:
“Seth Redmore, VP Product Management and Marketing at Lexalytics, explains; ‘Text categorization requires an understanding of how things are alike. Before the Concept Matrix, you’d have to use a massive amount of training data to “teach” your engine, i.e. ‘documents about food’.’ And, he continues, ‘With the Concept Matrix, the training’s already done, and by providing Semantria a few keywords, it drops your content into the correct categories.’ ”
A piece of software that does all the organizing for you, how amazing is that? If it “ate” Wikipedia and made lexical connections, what could it do with Google, Bing, the entire Internet?
Whitney Grace, January 01, 2013
October 28, 2012
I wanted to call attention to Lexalytics push into the Spanish language. In a couple of weeks you will learn about a remarkable technology which does not require “language packs.” I already wrote about the language innovations of Bitext in Madrid, Spain.
The Lexalytics’ approach, according to “Lexalytics Announces Availability of Native Phrase-Based Sentiment in Spanish,” is:
the only company to provide phrase-based sentiment in any language, providing unparalleled opportunities for tuning and customization for any application involving text. All of Lexalytics’ language packs are native to the language, with no translation step, so that all nuances of sentiment are captured directly without confusion from a machine translation step. Lexalytics’ Salience Engine is a market leading text analytics engine, used by industries as varied as social media monitoring, manufacturing, and pharmaceuticals to determine the “who,” “what,” “where,” and “tone” that’s implicit in any piece of text. Salience supports a number of different text analytics functions, including Named Entity Recognition, Sentiment Analysis, Categorization/Classification, Summarization, Theme Extraction and more. In other words, if you have text, Salience can tell you what it means.
For more information about Lexalytics, navigate to www.lexalytics.com.
Stephen E Arnold, October 28, 2012
August 24, 2012
We thought SharePoint incorporated social functions. We also thought Fast Search offered sentiment analysis via Lexalytics‘ technology. More must be needed, since CIO now declares, “Yammer Lets Organizations Measure Emotions in Enterprise Social Networks.” The write up informs us:
“Yammer is adding functionality to its cloud-based enterprise social networking (ESN) software that lets organizations gauge the types of emotions expressed in employee posts.
“The new capability will be provided via an integration with Kanjoya, whose Crane software is designed to identify and analyze ‘sentiment’ in text, Yammer said on Thursday.
“Yammer customers who sign up for this feature will have a new Crane dashboard in their Yammer admin console that will describe the prevalent mood in reactions from employees in the ESN about specific topics.”
The example given—use the software to analyze emails and other communications to determine how employees feel about a recent benefits change.Crane tracks about 80 different emotions; it allows administrators to search by keywords, narrow reactions by office or department, and create graphical representations of their workers’ feelings.
I know such a tool can be more efficient than simply asking employees for their opinions, especially in large organizations. Still, I just can’t ignore the Orwellian aftertaste left by such innovations. Maybe it’s just me.
Cynthia Murrell, August 24, 2012
August 23, 2012
To further add to the hype of the London Olympics, text analysis firm Lexalytics has announced that it has partnered with FutureEverything with the goal of analyzing the overall sentiment during the said event. “Lexalytics tracks mood of London Olympics” describes how they’re set on accomplishing this:
“The Amherst-based software business has provided Salience, a multi-lingual text analysis engine that is integrated into systems for media monitoring, analysis and business intelligence, to Emoto, a project by FutureEverything.
… Launched this week, Emoto provides the worldwide mood in response to events that are taking place in London 2012. The project tracks micro-blogging sites such as Twitter for themes that are related to the Olympic Games and then analyzes the messages for content and tone, according to the company.”
The public can then access this information via the Emoto website and through the Android mobile app aptly named Emoto in London.
While we all used to think that emotions and computers just don’t mix, Lexalytics has done a good job of getting a lifeless, emotionless machine quantify some sentiment and draw out meaning from text. Of course, the company is far from perfecting this technology and is currently refining it. But once it does, I’m really excited what sort of big applications will emerge, particularly in the area of mobile tech. I can imagine our phones summarizing our emails for us complete with the action items. What do you think?
Lauren Llamanzares, August 23, 2012
June 29, 2012
IBM has been working hard to build its technology treasure trove; it has acquired over 30 companies, captured hundreds of analytics patents, and made deals with over 27,000 business partners. Now Yahoo Finance reveals, “IBM Launches New Class of Analytics Software to Improve Decision Making.” So, it appears that after many acquisitions, we now have a new “class” of analytics. How can this be?
The recent release of IBM’s Operational Decision Management software combines the company’s Analytical and Operational Decision Management tools. The combination, the press release asserts, empowers the software to accurately suggest the next best action to its users and their employees. The write up emphasizes:
“In a single platform, IBM has combined the power of business rules, predictive analytics and optimization techniques through intuitive interfaces that allow users to focus on specific business problems. The resulting decision can be consumed by existing pre-packaged or custom-built applications, including many applications on the mainframe. The platform also takes advantage of IBM InfoSphere Streams technology where big data can be analyzed and shared in motion, providing real-time decision making in environments where thousands of decisions can be made every second.”
IBM also added a new social network analytics feature which expands sentiment analysis capabilities. See the write up and other links above for more information on the software. We agree that these developments may be a welcome evolution. A whole new class of analytics, though? That may be a bit much.
Cynthia Murrell, June 29, 2012
Sponsored by PolySpot
June 27, 2012
Have you ever wondered if it was possible to accurately predict a successful motion picture?
If so, wouldn’t the owner of this technology invest in winning films? MarketWatch recently discussed this very topic in the article “Social Media Sentiment Strongly Positive Toward ‘Rock of Ages’ Despite Film’s Disappointing Box Office.”
According to the article, Attensity, a social analytics and engagement provider, has released a report analyzing public reaction in social media to the movie, Rock of Ages by using the company’s social analytics application Attensity Analyze.
“Attensity’s data reveals that the already positive sentiment toward Rock of Ages, in fact, grew over 10 percent after the film’s premiere. Positive sentiment for Tom Cruise in the movie also increased, moving from 47.87 percent to 52 percent. On the other hand, critics of Tom Cruise jumped on the opportunity to post their negative comments about the actor and his participation in Rock of Ages, adding to the small amount of negative sentiment and arguably playing a role in the film’s lackluster opening weekend numbers.”
While researchers discovered an overwhelming 96.8 percent positive sentiment toward Rock of Ages, can this technology be applied to all movies and actually predict a film’s success? or does it merely pick up on the excitement surrounding it?
Jasmine Ashton, June 27, 2012
Sponsored by PolySpot