Page 10 - Ai Robogenius

Natural Language Processing (NLP) is an important domain of Artificial Intelligence (AI) that helps
computers understand and work with human language. It allows people to talk to machines in a
natural way—just like we talk to each other.
Apps like Siri, Alexa and Cortana use NLP to listen to our voice and understand what we are
saying. NLP helps computers read, understand and respond to both spoken and written language
in a meaningful way.

NLP aims to read, decode, understand and bring logical results to human languages that make
some sense.

TYPES OF NLP TECHNOLOGIES

Natural Language Processing is used in many ways to help computers understand and work with
human language. Let’s see some common types of NLP technologies.

Sentiment Analysis is a process used to determine whether a piece of text is positive, negative
or neutral.
Semantic Search involves understanding the intention behind any search. It also optimises
the search process by providing possible search predictions.

Optical Character Recognition converts written and printed text into machine-readable
data.
Speech Recognition involves converting spoken words into machine-readable data.

Machine Translation, translates the source language into the target language without human
interference.
Natural Language Generation is a software process which converts structured data into
natural language.

Sentiment Analysis Semantic Search

Customer Opinions Search Predictions
Feedback Contextual Results

Optical Character Recognition Speech Recognition

Digitization Voice Commands
Natural
Data Storage Accessibilty
Language
Processing

Machine Translation Natural Language Generation

Language Barriers Content Creation
Communication Data Storytelling

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