Linguamatics Scores Big with Text Mining
September 6, 2011
Wouldn’t it be great if there was a way to sift through all the chatter on Twitter and other social media sites to get to the real meat and potatoes? What if companies could find the proverbial needle in the Twitter-haystack? All this is being done by Cambridge-based Linguamatics as reported in the article, Tweet Smell of Success, on Business Weekly.
The small company (only 50 employees after expanding) caught the world’s attention due to their text-mining skills. Last year, using their search expertise, they were able to very accurately predict the outcome of an election based on the Tweets which occurred during a live, televised debate.
There core technology was developed by the four original founding members. Three remain at the company. They have expanded, rapidly, in their ten years of business, and rely solely on income. They believe their success is due to their unique search approach.
David Milward, CTO and co-founder said: ‘We knew that language processing could get people relevant information much faster than traditional search methods. However, previous systems needed reprogramming for different questions: we wanted to give users the flexibility to extract any information they wanted.’
Linguamatics is just one of many emerging search management companies, each with its own niche. With business and technology constantly shifting to newer and faster methods of getting information, it is no surprise that businesses demand better search methods. More and more information is popping up within the internet, intranets, file-sharing and other data storage entities. Traditional brute force search looks less and less useful to the professionals in some of these hot new market sectors.
Catherine Lamsfuss, September 6, 2011
Sponsored by Pandia.com, publishers of The New Landscape of Enterprise Search
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