This technology synthesizes the opinions at elementary level subsection 
(strongly negative opinion), and at higher levels (comment, document) 
and topics in order to provide a new entry point.
Any organization that wants to qualify, follow and analyze the contents it manages or that is created on the Internet.
Martine Garnier-Rizet Original Text:The rise of social media such as blogs and social networks has fueled interest in sentiment analysis. With the proliferation of reviews, ratings, recommendations and other 
forms of online expression, online opinion has turned into a kind of 
virtual currency for businesses willing to market their products, 
identify new opportunities and manage their reputations. As businesses tend to automate the process of filtering out the noise, 
understanding the conversations, identifying the relevant content, many 
are now looking into the field of sentiment analysis.
By investing in predictive analytics tools and other search solutions, 
businesses can gain valuable insights from their data and better serve 
the needs of their clients.
This technology synthesizes the opinions at elementary level subsection 
(strongly negative opinion), and at higher levels (comment, document) 
and topics in order to provide a new entry point.
The opinions are tagged with 3 pieces of information: 1/ The polarity; 2/ The intensity; 3/ A semantic category indicating the degree of involvement of the author.
No technical constraint. It can be accessed from Linux or Windows OS.
SDK available for integration in programs or Web services.
www.synapse-fr.com/sitepro/index.html
Patrick Séguéla
patrick.seguela@synapse-fr.com
(+33)(0)5.61.63.03.74
Other partner:
Priberam
Lisbon, Portugal
Synapse Development
33, rue Maynard
31000 Toulouse
France