Linguamatics I2E 5.1 focuses on further increasing the power and scale of querying, while optimizing the users’ experiences of query building.
I2E 5.1 enriches and expands on the capabilities introduced in I2E 5.0, which made a big splash in NLP text mining technology.
I2E 5.1 addresses the increasing variety of representations of the same concept in big data by finding more matches for terms in a document: variations in accented characters, spelling errors, and OCR artefacts are taken into consideration when matching. This ‘fuzzy matching’ returns greater search results and increases recall and accuracy.
One customer commented: ‘I am really looking forward to I2E 5.1’s spelling correction…you don’t realize how much you can miss in your search results because of typos and spelling mistakes.’
Data normalization in I2E, a key feature for tackling big data’s increasing variety, is now easier to use. Regardless of how the original document is written, you can define your numeric ranges in a different unit; for example, you can filter in pounds (as an upper or lower threshold or as a range) and display the results in kilograms.
I2E 5.1 introduces an integrated view of your query and a way of dragging queries around the editor, making it easier to design, tune and maintain your searches.