What Are Some Use Cases of NLP?
Text retrieval is as simple as it sounds. A good example of this would be a search function within a website, where webpages are indexed to enable and improve search features and capabilities.
Text summarisation is the process of shortening content in order to create a summary of the major points. For example, you may have long form blogs, but want a more concise version of them to put on social platforms. Using NLP, text summarisation would be able to do this for you.
Sentiment analysis is a method of understanding whether a block of text has positive or negative connotations. An example of using this in action would be analysing the sentiment of contact form replies. Manually going through thousands of contact form replies is a time consuming and tedious task.
However, with the application of NLP, most of this work can be automated, leaving your staff with more time to work on more important tasks. By performing NLP statistical analysis, you can provide valuable information for decision making processes. This analysis could give answers to questions such as which, why, and what services or products need improvements.
How to Implement Natural Language Processing:
Working with you to understand your business, together we can define desired outcomes. Algorithms can be built upon training sets of data, which can then be applied to the rest of your data sets. By understanding basic characteristics of how language within your data conforms, algorithms can be designed and further tweaked as the data set expands, making them more accurate.
If you have any questions regarding NLP or wish to implement NLP into your data strategy get in touch.