Natural Language Processing

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Take advantage of NLP in your business

Natural language processing (NLP) is a subsidiary of artificial intelligence in which natural human language can be processed, understood and have actionable insights upon such data. In simple terms, NLP is used to help computers parse the ambiguity of English language (or whatever language you choose!).

It can often be frustrating having access to lots of textual (unstructured) data and not being able to achieve any real insights from such. You know that it can be used to help make business decisions, but you don’t know what you can do exactly. Well this is where natural language processing can enter the frame.

Our NLP consultants, alongside the rest of our data analytics team can help you gather meaningful insights from your data to have a substantial effect on how your business is run and the business decisions you make.

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Many companies possess an abundance of textual data that is not properly utilized. In most cases this data can be extremely valuable, yet hard to digest due to its structure. With the power of NLP and Machine Learning, extracting information and finding answers from textual data becomes possible. Those that make the best use of their data will find themselves opening doors to exciting opportunities.

Husam Quteineh, KTP Associate, Objective IT

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What Can NLP Do For You?

Think of the forms of unstructured data you have access to… From your website to emails, social media and reviews to enquiry forms, and case studies to search phrases; the likelihood is you have access to large data sources. But what can you do with these?

Natural language processing applies a structure to unstructured data, allowing you to query data similar to that within a table for example. Text retrieval, document classification, text summarisation and sentiment analysis are just a few examples of what bespoke NLP can do for your business.

Just a few examples of what can be done with NLP include chatbots, emails bots, social media monitoring, virtual digital assistants, predictive typing, spell checkers, email spam detection and much more.

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.

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