TranslateMedia, a London-based translation services agency offering services to global clients, has announced the launch of their new Web site, “Multilingual Buzz Monitoring.”
With social media spreading globally, it has become vital for global firms to track social media buzz in other countries. Recent reports suggest that 70 percent of Facebook and 60 percent of Twitter (News - Alert) users are located outside of the U.S.
“We are delighted to have launched the new Web site, as we are now able to offer a more focused multilingual buzz monitoring service,” said Patrick Eve, CEO and founder, in a statement.
The new Web site will function as a focal-point for the production of high-quality multilingual buzz monitoring or social media monitoring reports for international organizations, the company said. It enables checking and analysis of client responses on key online platforms, including blogs, forums, and popular social media Web sites.
Multilingual Buzz Monitoring enables organizations to foster support from international communities, while understanding and dealing with any negative sentiment, the company said.
The service is supported by a network of over 5,000 regional linguists, who will provide a fully localized keyword list. With their knowledge of the regional vernacular and common search practices, TranslateMedia can guarantee the effective monitoring of multilingual social media.
“Not only do we have the linguistic capability to perform an excellent multilingual buzz monitoring service, but we have also spent time developing technology to aid the production of our reports,” said Matt Train, director of Operations, in a statement.
TranslateMedia recently announced the release of the latest version of its award-winning translation platform – TranslateMedia STREAM. The new solution boasts increased integration capabilities with other Web services platforms, advanced security features, and integrated memory technologies.
“With STREAM, our intuitive workflow system, we are able to manage heavy production loads, while being able to perform detailed sentiment analysis in over 90 languages,” Train added.
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