Now you can measure news sentiment for thousands of companies, in real time. Powered by high-end linguistics technology, Reuters NewsScope Sentiment Engine can determine whether news is positive, negative or neutral, so you can track sentiment, benchmark companies or enhance programmatic applications.
With Reuters NewsScope Sentiment Engine, you can:
- React to the market in real-time – Analysis far quicker than humans can perform provides improved buy/hold/sell signals within milliseconds. Investment managers can react more quickly to breaking news events, providing a quantifiable measure of the qualitative information present in news articles.
- Improve portfolio decision making – Scanning and analysing stories on thousands of companies in real time and feeding the results into algorithmic strategies, the Reuters NewsScope Sentiment Engine can deliver meaningful insight into your portfolio management decisions.
- Get more insight to drive trading decisions – With its ability to track news sentiment over time, the Reuters NewsScope Sentiment Engine provides a more comprehensive understanding of a company’s news coverage, helping to guide and inform trading decisions. It delivers unparalleled insight into a company’s market reputation, giving money managers a unique advantage.
Why choose Reuters NewsScope Sentiment Engine?
- Uniquely powerful technology: Powered by a natural language processing system from linguistics technology innovator Infonic plc, the Reuters NewsScope Sentiment Engine assigns ‘sentiment scores’ to words and phrases and calculates the prevailing sentiment for a company within the article. You can track the sentiment on companies over time as well as sectors, indices, and custom portfolios, even global markets.
- Rich metadata: Over 40 metadata fields will satisfy the most demanding quantitative analyst or the most sophisticated algorithmic engine.
- Part of a complete news analysis solution: The Reuters NewsScope Sentiment Engine is part of the Reuters NewsScope portfolio which provides additional ways to power automated trading strategies and enhance human decision-support processes.
| Windows Server 2003 Enterprise Edition Release 2 |
| SQL Server 2000/2005 Enterprise Edition |
| .Net Framework 3.0 (required for administrative tool) |
| RNSE Application Server | 2 x HP DL360 G5 |
| Processor: Dual-Core Intel Xeon 5150 (2.66GHz, 1333 FSB), 4MB L2 Cache | |
| RAM: 2GB PC2-5300 Fully Buffered DIMMs (DDR2-667) | |
| Disks: 2 x 72GB 10k U320 hot plug hard drives | |
| If using SAN, 2GBs required, RAID 5 configuration recommended (Note: RNSE has not been qualified on a SAN) | |
| Operating System: Windows Server 2003 Enterprise Edition Release 2 (R2) | |
| Microsoft SQL Server | SQL Server 2005 Enterprise Edition |
| For Microsoft SQL Server hardware please refer to the Microsoft Requirements website. | |
| RNSE has been qualified on x64 hardware with 2GB RAM and Microsoft Windows Server 2003 | |
| www.microsoft.com/sql/editions/enterprise/sysreqs.mspx |
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