NLP + Chatbots

Natural Language Processing

Natural language processing is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyse large amounts of natural language texts.

Whether you’re developing an application for automatic speech recognition, chatbots, legal contract review or some other project involving highly complex terminology and language structures, our custom NLP solutions provide you with the high-quality insights or automation necessary to reach your goals.

Applications of NLP

Let’s take a closer look at ways in which NLP can be implemented for your business.

Market Intelligence

Marketers can use natural language processing to understand customers better, looking beyond the words they use into how they feel about certain topics. This information can then be used to create effective strategies that address some of their pain points. Making use of unstructured data will give marketers a competitive advantage over their competitors.

Sentiment Analysis

Sentiment analysis enables you to monitor social media in real-time which means that you can see how people are reacting to certain things, such as a certain campaign or something you post on your company's blog. Sentiment analysis also helps ensure that your campaigns reach the right audience - whether they are supporters or detractors of your message! At Discite, we have gone a step further to create a proprietary model that can classify the sentiment of a text into 6 different categories, making it even more actionable and insightful!

HR & Recruitment

HR professionals can use techniques like information extraction along with entity recognition to extract information such as names, skills, and background information held by the candidate. This also allows for unbiased filtering and selection of the right candidate for the desired role, along with massively speeding up the shortlisting process.

Text Summarization

Through various techniques, AI models can be created to look for certain topics and patterns within a large piece of text and then summarise it for quick consumption. It's a process used in news content, legal documentation, and scientific papers, reducing the time needed for going through a huge amount of text.

Content Generation

Using a technology called Natural Language Generation, AI models can generate human-like articles and content once certain keywords and relevant sources of information have been inputted. This field is immensely helping content creators and organisations to increase the speed at which they create content for their audiences.

Interactive Chatbots

Chatbots are created using Natural Language Processing (NLP) and Machine Learning, which means that they can easily comb through text and determine the true intent of your messages on their own. They also have a really cool feature about them called an adaptive personality engine that allows your chatbot to memorise previous conversations in order to better understand your unique needs as a user.