Natural Language Processing (NLP) has a wide range of applications across various industries and domains. Some of the most common and prominent applications of NLP include:
|Understanding user queries, and providing relevant results.
|Google Search, Bing Search
|Automated translation between languages
|Chatbots and Virtual Assistants
|Automated interactive chatbots that understand and respond to user queries
|Erica by Bank of America, Eno by Capital One
|Analyzing text to determine sentiment (positive, negative, neutral) and public opinion
|Customer reviews on Yelp / Amazon, User sentiment on X
|Categorizing text data into predefined categories, such as spam detection or topic labels
|Gmail filtering out Spam, Gmail segregating the news into Primary, Promotional and Social,
|Systems that understand and answer questions posed in natural language.
|ChatGPT, Perplexity, You.com
|Processing and responding to spoken language in devices
|Alexa, Siri, Google Assistant
|Automatically generating concise summaries of longer texts
|Book summary by Blinkist
|Text and Data Analysis
|Extracting useful insights from research text, social media, financial reports, medical reports and so forth
|Used by Grammarly for grammar correction
|Suggesting relevant content to users based on preferences and browsing history.
- Here are a few short videos to explore real-life use cases of Natural Language Processing. They showcase how we interact with tools and products that have NLP at their core in our day-to-day lives.