Hello to all my friends!
In this post, I will talk about what is Natural Language Processing.
What is Natural Language Processing?
Natural language processing (NLP) is the use of computers to reading human’s natural language and analyzing it. Human’s data is usually unstructured data in the form of written text, audio, image, etc.
There are two parts in NLP:
- Natural Language Understanding (NLU) – To read and interpret the natural language.
- Natural Language Generation (NLG) – To generate meaningful phrases, sentences response to an input. There are statistical models used to predict the meaning of input words and sentences and thereby produce the appropriate response.
Applications of Natural Language Processing
- Sentiment analysis – This helps to know how users feel about a company or product
- Speech recognition – This converts audio into text for further processing
- Chatbots – Automated customer support
- Machine translation – This involves one to another language translation. It helps to reach newer markets with minimum investment.
- Autocomplete text – This helps increase efficiency
- Spell checking – It checks for spelling mistakes
- Keyword search – Helps locate relevant information faster across all data facilities
- Advertisement matching – Shows relevant ads based upon user’s input text
- Information Extraction – To extract information from large set of unstructured data
- Spam detection – Checks spam in email box
- Text generation – Creates new text, e.g. email content, client contracts, etc.
- Image captioning – To annotate images
- Video captioning – Extract information from videos into text
Real Use Cases of Natural Language Processing
- Rotterdam Airport – Uses NLP for document analysis
- Autodesk – Uses NLP for chatbot
- Boston Consulting Group – Uses for survey analysis
- JPMorgan Chase – Uses NLP for document review
- Youtube – For content mentoring
- 8allocate – For sentiment analysis of users how they feel about a product
- Virtual personal assistants
- SKAI – Uses NLP for feedback analysis
- Lenddo – For credit analysis
- Booking.com – For translations