Natural Language Processing (NLP)

It is a process by which a machine can understand the natural language of humans and complete the tasks accordingly.
Example - Digital Assistants and Chatbots

Applications of NLP

Some of the applications of Natural Language Processing which are used in the real-life scenario:

1. Automatic Text Summarization: Information overload is a real problem when we need to access a specific or important piece of information from a huge knowledge base.
“It is the NLP technique where a computer program shortens the larger texts, and generates summaries to retain the most important information.”It is most helpful in various fields.

Example – Online or digital newsletter use this for personalised content, various agencies apply this on social media posts to make persona sketch of the person, etc.


2. Sentiment Analysis: It helps to detect emotions and language tones in written text or speech-to-text.

“It refers to analysing the written text or speech-to-text to recognise sentiments or emotions expressed in it.”

Example - “I love the new iPhone” and, a few lines later “But sometimes it doesn’t work well” where the person is still talking about the iPhone and overall indicators of their reputation.
Example – To know the opinion and sentiments through online review or blogs, to help them understand what the customers think about the products or services.

3. Text classification: Text classification makes it possible to assign predefined categories to a document and organizes it to help you find the information you need or simplify some activities.

“It is the process of understanding, analysing and categorising the unstructured text into organised groups based on predetermined tags and categories.” It helps in sorted out and organised the data.

Example - An application of text categorization is spam filtering in email.
Example – Mails are categorised as Social, Promotional etc. in email.


4. Digital Assistants / Virtual Assistants: By accessing our data, Digital Assistants or Virtual Assistants can help us in keeping notes of our tasks, make calls for us, and send messages and a lot more.

“It is the Computer program which can understand the natural language of human and complete the tasks accordingly.”

Example - Siri (Apple), Cortana (Microsoft), Alexa (Amazon), Google Assistant (Google) etc.


5. Digital Phone Calls: The Phone calls we have made with the customer service centres are recorded for training purpose to better learn and improve the NLP models for future.