PHILADELPHIA, Feb. 4, 2014 /PRNewswire/ — The Intellectual Property & Science business of Thomson Reuters, the world’s leading provider of intelligent information for businesses and professionals, today announced the launch of Cortellis™ Data Fusion, an addition to the Thomson Reuters Cortellis suite, the industry’s most comprehensive information solution for drug discovery and development. Cortellis Data Fusion utilizes linked data technologies – frameworks that allow content to be shared across applications and enterprise or community boundaries – connecting users with data from internal proprietary systems as well as third-party resources to address Big Data challenges. Read more
Posts Tagged ‘Thomson Reuters’
Thomson Reuters is looking for a Natural Language Processing Engineer in New York, NY. The post states, “The Text Analytics and Machine Learning Team are looking for an experienced engineer or scientist to join the newly formed organization. The team focuses on developing products that are powered by advanced natural language processing and machine learning theory and techniques. The primary focus is on processing unstructured data, such as news, broker research, filings, social media data, etc., using both supervised and unsupervised machine learning techniques. In addition, the team also develops products that are quantitative in nature, derived from time series data.” Read more
How do you feel about the financial institutions you deal with? A report earlier this week of a survey of Wall Street financial services industry professionals, conducted by Labaton Sucharow LLP, might have you a bit leery.
The report notes, for example, that 23 percent of those polled said they’d observed or had firsthand knowledge of wrongdoing in the workplace. Twenty-nine percent believe that financial services professionals may need to engage in unethical or illegal activity in order to be successful. More than one-quarter think the compensation plans or bonus structures at their companies incentivize employees to compromise ethical standards or violate the law, and 24 percent would engage in insider trading if they could make $10 million and get away with it. Twenty-eight percent say the financial services industry does not put the interests of clients first.
Says the report, “We see a powerful and frightening pattern that threatens an already fragile marketplace.” Yikes. Now, on the heels of that, comes Thomson Reuters’ Q2 TRust Index that aims to gauge trust in the top 50 global financials. It leverages technology including its own news and social media sentiment analytics solution, Thomson Reuters News Analytics (TRNA), and its MarketPsych Indices, which provides real-time psychological analysis of news and social media.
Thomson Reuters, the world’s leading source of intelligent information for businesses and professionals, today revealed that 18 central banks and government organizations in Asia Pacific have recently rolled out the flagship Thomson Reuters Eikon platform for real-time financial data, analytics, news and commentary.
The central banks and government authorities that have signed up to use Thomson Reuters Eikon in recent months include the Hong Kong Monetary Authority, Reserve Bank of New Zealand, Reserve Bank of India, Nepal Rastra Bank, Central Bank of the Republic of China (Taiwan), State Bank of Vietnam, Bank of the Lao P.D.R and Royal Monetary Authority of Bhutan. Read more
Dr. Carlo Trugenberger, co-founder and Chief Scientific Officer at InfoCodex Semantic Technologies AG, has co-authored a report reflecting the topic he discussed at last fall’s London SemTech event: An approach to drug research that relies on identifying relevant biochemical information using the company’s autonomous self-organizing semantic engines to text mine large repositories of biomedical research papers.
The model, says Trugenberger, is a departure from many other semantically-engineered approaches to streamlining drug research, which are based on natural language processing (NLP). That’s good for extracting information from documents, he says, but not as adept at discovering knowledge. “That’s what our InfoCodex software is designed for, to find new facts and hidden correlations” in repositories of unstructured information.
Greg MacSweeney reports, “Thomson Reuters’ latest evolution of Eikon, its integrated market data platform, offers semantic search capabilities not found in other market data products currently on the market. Most notably the new version, called Eikon 3.0, applies free text search capabilities to financial data, similar to Google’s search functionality. ‘The latest version brings data into one place,’ says Philip Brittan, global head of the Eikon desktop platform at Thomson Reuters. Traditionally, market data platforms hold a wealth of data, but users need to know specific commands or follow certain workflows to find the information. ‘Often, getting to the data is a challenge,’ Brittan adds. ‘Eikon brings semantic search to financial information’.” Read more
Tom Groenfeldt of Forbes reports that Thomson Reuters is bringing semantic search to market information. He writes, “Looking up Cisco results on a Thomson Reuters Eikon terminal is as simple as typing in Cis. The name will autofill and you’re there. Just like Google. Is nowhere safe from the consumerization of IT, not even trading rooms? ‘We want to change the way people interact with financial information,’ said Philip Brittan, global head of desktop platform at Thomson Reuters. ‘We are making it more like what modern search engines, such as Google, have done in the way you search the Web and interact with Web sites putting the search bar front and center allowing users to simply input what they are looking for’.” Read more
Turmoil seems to be the default option for worldwide financial markets, but turns out there has been good news on the stocks front. According to a Bloomberg Businessweek article this week, U.S. stocks have had a solid 2012 so far, with the Standard & Poor’s 500 index up 9 percent this year, through Thursday, and Nasdaq up 15 percent. But the article also points out that hundreds of billions of dollars have fled the market here in the last three years.
It’s probably no surprise that skittishness reigns among average Americans, and institutional investors, too, given issues like the continuing economic volatility in Europe and more disappointing U.S. jobs data. But where many see problems, others see opportunities – including a new round of projects and vendors with semantic and sentiment analysis solutions aimed at helping investors ferret out what might be on the market’s minds.
The last couple of weeks alone saw the following unveiled:
- The EU FIRST (large scale inFormation extraction and Integration infrastructure for SupporTing financial decision making) consortium, which employs artificial intelligence to support financial decision making, launched its first running prototype of a technology that can extract and analyze sentiment about the financial domain from social media networks in near real-time. Read more
Thomson Reuters is looking for a Bioinformatics Analyst in Philadelphia, PA. The post states, “The role of Bioinformatics Analyst is to develop products and services that leverage internal and external ontologies, text mining and analytics to enhance the Life Sciences value propositions in core products and services engagements across the global organization. This highly motivated individual will be expected to take ownership of their workload; act independently & knowledgably as the key contact within the group for ontologies and text mining; work directly with internal and external customers to determine requirements and propose new offerings; work closely with Sales in customer engagements and work to deliver reusable components that answer specific business needs.” Read more
The financial services sector was in focus at this week’s Sentiment Analysis Symposium in New York City, which is organized and produced by Alta Plana Corp. and its founder, Seth Grimes. Take, for example, the presentation by Rich Brown, head of Elektron Analytics at Thomson Reuters, who disclosed that the company is about to launch market response indicators in support of its Thomson Reuters News Analytics system for the financial community. That product this week also won The Technical Analyst’s 2012 award for best news analytics software.
With its software, originally discussed here, qualitative, unstructured information is turned into a quantitative data set allowing users – machines and humans – to quickly analyze thousands of news stories in less time than it takes to read a single headline, as Thomson Reuters describes it. It uses natural language processing technology to get to the end game, which is to forecast financial market response from news and social media sentiment. Some 82 fields of metadata come into play for automating the analysis of news content. That encompasses sentiment down through to the degree of positive, negative or neutral expressions and how individual companies mentioned in a piece fare in those respects – rather than just the tone of the piece at large. “The computational linguistics system measures the author’s tone as positive or negative on any given entity, which is important and the harder part of it,” Brown said. Other fields include, for example, relevance, genre, intensity of news flow, and more.
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