Natural Language Processing (NLP) enables computers to understand,
interpret, and generate human language.
From chatbots to translation systems, NLP powers countless applications we use daily.
Let's explore the fundamental tasks that make this possible!
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Text Classification
Categorizing text into predefined groups or classes
Examples: Spam detection, sentiment analysis, topic categorization
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Named Entity Recognition
Identifying and extracting named entities from text
Examples: Person names, locations, organizations, dates
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Part-of-Speech Tagging
Labeling words with their grammatical roles
Examples: Noun, verb, adjective, adverb identification
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Machine Translation
Converting text from one language to another
Examples: Google Translate, real-time document translation
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Text Generation
Creating coherent text based on input or context
Examples: Story writing, code completion, chatbots
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Question Answering
Extracting answers from text given questions
Examples: Search engines, virtual assistants, FAQ systems
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Text Summarization
Condensing long texts into shorter versions
Examples: News digests, document summaries, meeting notes
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Semantic Similarity
Measuring how similar two pieces of text are in meaning
Examples: Duplicate detection, recommendation systems