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MASS Proposal passes first FP7 stage

SemLab has passed the first stage with their MASS proposal for the FP7 call on Digital Content and Languages, a funding scheme of the European Commission.

In this proposal, SemLab and innovative European partner organisations propose to create a functioning multimedia sentiment analysis platform that incorporates automatic semantic analysis of customer feedback from a wide variety of web-based multimedia, and automatic translation of small and large European languages.

In order to understand social customers, companies must understand the (often unknown) languages of their customers. Today’s existing social CRM solutions are monolingual and are not suitable for following consumers’ responses across Europe. By incorporating automatic translation for larger and smaller European languages into the system, MASS can step beyond the current state of the art and deliver a database of social media information and a system that can determine sentiment from different language groups, cultures, and countries from these data.

This will enable companies to tap into a large base of social customer sentiment, and use this in their CRM solutions. By using the latest semantic analysis technologies, the sentiment portrayed in social media can be extracted. Furthermore, smart semantic tools are used to interpret specific web language, such as shortened words or expressions, emoticons, new ‘internet’ language, etc.