SSIX - Social Sentiment Indices powered by X-Scores

Archives for Machine Translation

The SSIX project targets sentiment analysis in the financial domain. One of its main objectives is to overcome language barriers and realize a financial sentiment platform capable of scoring textual data in different languages. The three-year project was launched with English. In Year 2, we developed an English Gold Standard (GS) corpus and trained an… » read more

Posted by ssix

Following the multilingual approach for Sentiment Analysis described previously, today the SSIX Project is pleased to announce the public release of two important pieces of software in our machine translation chain. We are opensourcing two new clients to programmatically access some features of the GeoFluent API: GeoFluent Java Client GeoFluent Python Client Both software components… » read more

Posted by ssix

One of the primary targets of the SSIX project is sentiment analysis in the financial domain across multiple languages. Work is progressing on the English front, where a three-way validated sentiment gold standard has been developed and is currently being used to train the sentiment classifier. The work on English can rely on several available… » read more

Posted by ssix