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Brainy Fact
According to Dashbot.io, a bot analytics service, the two most popular words to start a discussion with a
chatbot are "hi" and "hello." A question mark(?), “hey,” “help,” “yes,” and a thumbs up icon were among
the most common messages. By the year 2029, it is expected that chatbots would acquire human-level
language abilities.
Natural Language Processing (NLP)
Natural Language Processing (NLP), is an area of artificial intelligence that employs natural language for interaction
between computers and humans. NLP aims to extract information from the spoken and written word using algorithms,
and natural language refers to the language that is spoken and written by people.
The ultimate goal of NLP is to read, decipher, comprehend, and make sense of human languages in a useful manner. The
best examples of NLP are Google Assistant, Microsoft’s Cortana, Amazon’s Alexa, and Apple’s Siri.
Here are some examples of how NLP enriches your life, without you noticing it:
• Autocomplete recommends the next word.
• In the Google search field, predictive typing suggests the next/remaining words in the sentence.
• Spell checks eliminate misspellings, errors, and spellings that are stylistically inappropriate.
Grammar checkers ensure that you use proper punctuation and warn you if you use the incorrect article or proposition.
For example, Grammarly.
Video Session
Scan the QR code or visit the following link to watch the video: Natural Language Processing
In 5 Minutes | What Is NLP And How Does It Work? | Simplilearn
https://www.youtube.com/watch?v=CMrHM8a3hqw
After watching the video, answer the following question:
How data is used in NLP?
Applications of NLP
NLP is used in various fields which are listed as follows:
Text Recognition
In recent years, automatic reading of a vehicle’s license plate, billboards, or text recognition has acquired a lot of
popularity. The sector is motivated by the desire to save documents in a more efficient and timely manner. Optical
Character Recognition (OCR) is a popular text recognition technique that turns scanned images of text into an editable
format. Text recognition is a tiresome job as it includes recognizing text with different fonts and styles.
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