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• 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 Social
articles 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
Spellcheck Refine Text
term based on your misspelling.

• 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.

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