Research shows that the current value of the text analytic market is estimated to be around $3 billion. These figures look to double by the year 2020. Text analytic software is growing at a rapid rate. It’s wise to make sure that your company is using the right named entity recognition tools to grow your brand. Entity resolution involves gathering mentions of an entity throughout sets of data. Name matching software is similar in that it searches for and sorts text that has to do with names.
One popular trait of identity resolution software is that it teaches itself. Certain types of name matching software are able to learn certain behaviors based on user input. Over time, name matching software learns the input of its users. In turn, this software will become better suited to learning how information is collected, sorted, and found by your business.
A business might need to adjust what they are inputting or variations of search functions. Software that teaches itself will learn how you want the software to perform and do its best to match that. Having software that never learns preferred behaviors could make text sorting slower than it has to be.
The second characteristic of quality name matching software is that it tackles certain challenges. Matching names can sometimes be a long and boring task. Manual sorting of a name makes it very easy to make mistakes. Sometimes, your brain will play tricks on you which could lead to valuable data being entirely missed. Working with large amounts of data usually increases the frequency of errors with more traditional matching systems.
Using name matching software allows for variations of any input to be checked thoroughly. For example, the name John Smith could be abbreviated, initialized, or misspelled. An employee could input data their own way without realizing it will never be found by a standard name matching system. Language barriers can mean important pieces of data are lost in the shuffle. It’s best to find name matching software that has cross lingual support.
Multi platform functionality is a third important characteristic of name matching software. The best types of this software should be able to function across both Windows and Linux. Having name software that works on multiple systems ensures work is done between groups on multiple platforms. Name matching software isn’t only used to help a business grow.
One business that often uses text analytics is border security. These analytics protect borders by identifying dangers when screening people as well as future issues that could hinder operations. Having functionality across multiple platforms means a business never has to stop mining data because they need to switch computer systems.
In closing, there are several things to look for when implementing name matching software. You will want a software that is able to learn based on input over time. Having a software that teaches itself saves valuable input time. Another important aspect of a good name matching software is that it handles language challenges well. One change in a single character of input can lead to data become wildly out of sorts. You will also want to make sure that identity software functions well across multiple platforms. Following the previously mentioned tips helps to ensure your business is matching names faster and more accurately.