Semantic Social Media Monitoring


The importance of Social Media Monitoring

”If you make customers unhappy in the physical world, they might each tell 6 friends. If you make customers unhappy on the Internet, they can each tell 6,000 friends" said Jeff Bezos, the CEO of Amazon.com

With the appearance of the so-called Web 2.0 media, the web user has become an active player and can create, organize and broadcast content of his own. Expressing one’s own opinion and relaying it to the widest audience possible is no longer the sole prerogative of journalists and technology buffs. Thanks to the availability of ever simpler and increasingly collaborative tools, every user connected to the net is a potential form of media: users may discuss your company on their blogs, post comments on a social news site (OhMyNews, TPM Café, Digg, Newsvine), take part in a wiki, give their views of your product on a consumer opinion platform (epinions, ConsumerReview), create a file about your services on a social network (Facebook), etc.



That's why "Social Media Monitoring" has become an increasingly field of attention by companies and institutions alike.

Using Semantic Technology

The challenge now is: How can you monitor sources of information containing hundreds of thousands of comments and posts? Can you extract what is really important and commonly mentioned there in order to take action?

Semantic Social Media Monitoring

With our Semantic Search technology, particularly our Semantic Clustering we are extracting hundreds of thousands of comments from the Internet, and grouping them by their meaning, creating groups of comments that are similar in meaning called "semantic clusters".

Each semantic cluster is actually an item you should pay attention to, as it is giving you a clear vision of what are the most important topics everybody is saying about your business on the Internet.
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