3 Everyday Examples of Natural Language Processing

 

Transcript

3 Everyday Examples of Natural Language Processing

First, what is natural language processing?

Natural language processing (NLP) is a field within AI concerning interactions between computers and human language.

NLP can involve the analysis of either spoken words or written text.

NLP engines can process huge data sets and can engage in “machine learning” by applying prior experiences to new ones.

 

Here are three everyday examples of NLP.
1. Digital Assistants like Siri, Alexa, and Google Assistant.

They’re often passive listening devices triggered by commands. “Hey, Siri.”

They analyze speech patterns, infer meaning, and aim to provide useful responses.

Since they’re always listening, they’ve raised some privacy concerns.

 

2. Predictive text like autocorrect and autocomplete.

Predictive text uses common language patterns to suggest words and phrases.

It can also learn from your habits to suggest something you’re likely to type.

 

3. Text analytics.

Text analytics involves translating large volumes of text into structured data.

Companies with large consumer brands collect text from social media and use NLP to monitor how people feel about their brands.

Sentiment analysis itself has become a large business. The market for sentiment analysis software is growing by over 60% annually.

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