Financial sentiment analysis is a growing area of interest for major financial institutions such as banks and hedge funds. Automated trading strategies based on traditional market analysis are producing lower returns as institutions compete with similar strategies. Automated sentiment analysis offers a completely new data stream that can break this deadlock. Companies who get it right will have a significant advantage over their competition.
Bitext has participated in the End User Advisory Board of the European Project OpeNER which convened July 3rd in Amsterdam during its II Workshop. The OpeNER project aims to provide enterprise and society with base technologies for Crosslingual Named Entity Recognition and Classification and Sentiment Analysis through the reuse of existing resources and the open development of complementary technologies.
As one of the leading language technology (LT) companies in Europe, Bitext was strongly in evidence at this year’s LT-Innovate Summit. The event, which takes place across two days in Brussels, continues to grow in size and influence, with attendance doubling since the previous year.