Best of all, their approach helps companies avoid implementation costs that other software solutions require. Stephen E. Arnold, publisher of the influential search industry blog Beyond Search, commented in the press release that Bitext’s semantic analysis engine is unique in that it is a complementary technology designed to enrich existing systems. Many others focus on replacing entire systems and that drives up cost.
We learned more about Bitext’s solution in the press release:
“Bitext’s sentiment analysis engine analyzes local sources of user comments to deliver an opinion and sentiment snap-in, together with topic categorization, a huge step forward in aggregating data. Bitext’s system processes contents from user-generated reviews as well as more traditional data such as information in a CRM solution or a database of agent notes. One important step forward for Bitext’s system is its inclusion of trends analysis.”
The combination of both unstructured and structured content that Bitext enables to be extracted and analysis is notable. However, the even more impressive feat that Bitext’s solution shows is the capability to process so many different types of unstructured data. Their emphasis on local information, social media and multiple languages runs parallel to the types of information that most users are generating. Bitext is producing keen insights indeed.
Megan Feil, May 29, 2013