Page 13 - Ai Robogenius

Text classification: AI powered by NLP automatically
categorises text into predefined labels or categories. For Spam
example, email filtering—Gmail classifies emails into
Primary, Spam, Social, Promotions, etc., based on their E-mail Primary
content. This helps users keep their inbox organised.
Similarly, Google News uses NLP to categorise news articles
Social
by topic.

Voice assistants: Voice assistants like iPhone’s Siri and
Amazon’s Alexa understand speech patterns and provide
helpful responses. Smart Assistants operate on a voice

recognition system. They respond to users with a keyword like
“Hey Siri” or “Alexa”.

Search engines: Search Engines use NLP to optimise search
results and helping users find relevant information effectively.
For example, Google not only predicts which popular
searches may apply to your query as you start typing, but
it also considers the bigger picture and recognises what you
are trying to search for rather than just the exact search
words.

Autocorrect Autocomplete
Word processing tools: Features like autocorrect,
autocomplete and spell check in word processors rely
on NLP to process and refine text. For example,
autocorrect uses NLP to suggest the closest accurate
term based on your misspelling.
Spellcheck Refine Text

Social media monitoring: Businesses use tools like Hootsuite
or Buffer, which use NLP to understand how many users are
talking about their brands on social media. These tools alert
users when their brand is discussed online, aiding in real-time
engagement.

Customer care chatbots: Services of various e-commerce
sites use NLP to understand users' queries and recommend
possible solutions. This controls the traffic in call centres
and avoids long waiting times.

Natural Language Processing (NLP)
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