Join a live Twitterview from @DJSalesTrading on sentiment analysis!

SemLab’s Bram Stalknecht and Rob Passarella of Dow Jones Newswires will host a Twitterview discussion on Sentiment Analysis in Trading on October 13, 2011.

Find out why sentiment analysis is having a major impact in today’s institutional trading markets and what it can do to give you a competitive advantage. Our experts will discuss topics such as: What is sentiment analysis? How can traders use news sentiment analysis? How are subjectivity and the intensity of words dealt with? How does the industry profit by sentiment analysis? What competitive edge can traders and quants get from sentiment analysis? What’s the future of trading on sentiment?

PANELISTS:
Rob Passarella, Vice President of Institutional Markets and Managing Director, Dow Jones Newswires
@robpas

Bram Stalknecht, CEO of SemLab, whose focus is on information technology-driven markets with extreme data processing and data-management needs
@semlabtweets

WHEN: October 13, 10:00-10:30 am ET / 3:00-3:30 pm GMT
WHERE: Follow the Twitterview on #djsemchat

SemLab talk on SMT and News Sentiment Analysis at Multilingualweb meeting (W3C)

SemLab’s project director Thomas Dohmen will give a presentation on the benefits and problems of using Statistical Machine Translation for News Sentiment Analysis at the Multilingualweb workshop in Limerick, Ireland.

SemLab is a partner in the LetsMT project for machine translation of smaller European languages, such as Latvian, Danish, Dutch and Croatian. The resulting translation engines of the LetsMT project are showcased on SemLab’s Newssentiment.eu website once completed.

For more information, please visit:
Multilingual web
LetsMT
Newssentiment.eu

MASS Proposal passes first FP7 stage

SemLab has passed the first stage with their MASS proposal for the FP7 call on Digital Content and Languages, a funding scheme of the European Commission.

In this proposal, SemLab and innovative European partner organisations propose to create a functioning multimedia sentiment analysis platform that incorporates automatic semantic analysis of customer feedback from a wide variety of web-based multimedia, and automatic translation of small and large European languages.

In order to understand social customers, companies must understand the (often unknown) languages of their customers. Today’s existing social CRM solutions are monolingual and are not suitable for following consumers’ responses across Europe. By incorporating automatic translation for larger and smaller European languages into the system, MASS can step beyond the current state of the art and deliver a database of social media information and a system that can determine sentiment from different language groups, cultures, and countries from these data.

This will enable companies to tap into a large base of social customer sentiment, and use this in their CRM solutions. By using the latest semantic analysis technologies, the sentiment portrayed in social media can be extracted. Furthermore, smart semantic tools are used to interpret specific web language, such as shortened words or expressions, emoticons, new ‘internet’ language, etc.

Deutsche Börse announces ‘ AlphaFlash Corporate News Germany’

Deutsche Börse has issued a press release stating that their algo news feed AlphaFlash will now deliver unscheduled corporate financial data in machine-readable format. This is the first step in an expanding service. Additional news types and countries will be added later.

AlphaFlash is supported by SemLab’s semantic analysis technology.

To read the press release, follow this link: Deutsche Börse Media Announcements

Automated News Analysis on Wall Street

The New York Times recently published an article about the automated news anaylsis tools that are currently being used on Wall Street. The article describes the current trend – and potential – of using semantic analysis tools for analysing news, such as the news information published in news reports, blogs and Twitter feeds.

The technologies described are very similar to SemLab’s ViewerPro technology for automatic semantic analysis of news.

You can find the original article here: NY Times website

EuroScope project receives Service Innovation & ICT funding

Semlab, together with Partners Infa and DowJones, received funding from the Netherlands’ newest innovation programme Sii (Service Innovation & ICT) for their Innovative project ‘EuroScope’.

The Sii programme aims at making the Netherlands the European center for smart information and media services as well as for financial logistics.

With the EuroScope project, Semlab and partners will research the possibility of using live news information and automatic semantic anaylsis to improve the state of the art in personalised financial planning software.

ViewerPro connects to Reuters Market Data System

ViewerPro, Semlab’s news flow algorithms and analytic suite, is now connected to Thomson Reuters Market Data Systems (RMDS). In order to interact and develop emerging news analysis tools, users can utilize a fully integrated RMDS news flow algo, based on SemLab’s superior semantic web technology.

For more information: Reuters RMDS website

Active summer for SemLab

Even though summertime is usually a calm time for technology companies, SemLab has been very active in several commercial projects. We have been installing, testing and running our ViewerPro software at several large financial institutions and organisations in various countries. In addition, we are involved in several international research projects.

SemLab starts several International Projects in Financial News Analysis

In the coming months Semlab’s ViewerPro system for automated semantic analysis of financial news, will be used by several international financial organisations in Japan, the USA, France, Germany, the U.K and the Netherlands.

ViewerPro processes incoming financial news events and determined the impact of messages on equity portfolios.

Semlab lecture at Erasmus School of Economics

Last week, Semlab’s Wijnand Nuij (MSc) gave a lecture at the Erasmus School of Economics (Rotterdam). He showcased the ViewerPro platform, including a live presentation. He also explained the theories that the platform is based on, such as the semantic analysis, computational linguistics, fuzzy logic and various economical considerations about the interpretation of financial news.