Text Analytics: What Tools Do You Need?

When trying to implement text analytics and data mining, there are many tools that are available that can be used to create your own custom solution. These tools usually do not work right out of the box, but with a little work and some customization, you will be able to create your own custom software. To get started, you will need to know what is available:

Open-Source Tools

One example of a text analytic tool is GATE. This is the General Architecture for Text Engineering. This consists of a series of tools used to identify languages, such as a sentence splitter and parts of speech tagger. Another option is to use a text learning tool that can perform text classification functions. 

User-Friendly Tools

Getting some tools to work requires that you have some programming knowledge. However, there are other tools that are entirely visual. They may include drag-and-drop functionality or allow you to toggle settings in a menu. The advantage of these types of data science software is that it is easier and less expensive to train staff to use them. However, these programs may not be able to be customized to fit your exact needs. Still, many come with extensions that are worth investigating and it may be possible to piece together what you need. For instance, you may need a tool that can scrape tweets from Twitter and assess whether they are positive, neutral or negative.

Text Mining

You may need a data mining tool. There are some that are very easy to use and can be compared to using Microsoft Excel. Some come with pre-built packages that allow for you to quickly implement complex algorithms on large data sets. High-quality information can be extracted from the text by examining text for patterns. Text can be analyzed to make predictions about unanticipated future events. 

Free Tools Vs. Customized Commercial Solutions

While there are free tools available, they will rarely be customized to fit the specific needs that you will have as a business. Therefore, it may make sense to work with software consultants who can help you find a data science software program that will be useful for your business. Regardless, once you have the right tools in place, you will be able to create statistical models, train machines, and create artificial intelligence that will allow your business to make better decisions faster and generate a greater profit.