Related Questions:
– What is Natural Language Processing (NLP) ? List some of the most common NLP tasks
– What are Language Models? Discuss the evolution of Language Models over time
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:
| S.No. | Application | Description | Examples |
|---|---|---|---|
| 1 | Search Engines | Understanding user queries, and providing relevant results. | Google Search, Bing Search |
| 2 | Language Translation | Automated translation between languages | Google Translate |
| 3 | Chatbots and Virtual Assistants | Automated interactive chatbots that understand and respond to user queries | Erica by Bank of America, Eno by Capital One |
| 4 | Sentiment Analysis | Analyzing text to determine sentiment (positive, negative, neutral) and public opinion | Customer reviews on Yelp / Amazon, User sentiment on X |
| 5 | Text Classification | 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, |
| 6 | Question Answering | Systems that understand and answer questions posed in natural language. | ChatGPT, Perplexity, You.com |
| 7 | Speech Recognition | Processing and responding to spoken language in devices | Alexa, Siri, Google Assistant |
| 8 | Text Summarization | Automatically generating concise summaries of longer texts | Book summary by Blinkist |
| 9 | 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 |
| 10 | Content Recommendation | Suggesting relevant content to users based on preferences and browsing history. | Netflix, Amazon |
Video Explanation
- 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.
- Use of NLP in Speech Recognition (Runtime: 1 min)
https://www.youtube.com/watch?v=oo-qQMYf7vU - Use of NLP in Grammarly (Runtime: 1 min)
https://www.youtube.com/shorts/WAbQStzVmLc - Use of NLP in Chatbots (Runtime: 5 mins)
https://www.youtube.com/watch?v=7t1z-ZsVUs0
- Use of NLP in Speech Recognition (Runtime: 1 min)
