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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
Importance of Natural Language Processing in AI
Natural Language Processing is a core domain of AI that allows machines to understand, interpret,
and generate human language—the most natural form of communication. It bridges the gap
between humans and machines, making interactions more intuitive, effective and natural.
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