What are some common natural language processing tasks?

Common natural language processing (NLP) tasks include:

1. Text Classification: Categorizing text into predefined categories.

   • Example: Spam detection in emails (classifying messages as spam or not spam).
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2. Named Entity Recognition (NER): Identifying entities like names, dates, and locations in text.

   • Example: Extracting "New York" as a location from a news article.
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3. Machine Translation: Translating text from one language to another.

   • Example: Translating a Chinese document into English.
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4. Sentiment Analysis: Determining the sentiment (positive, negative, neutral) in text.

   • Example: Analyzing customer reviews to gauge product satisfaction.
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5. Question Answering: Providing answers to user queries based on context or knowledge bases.

   • Example: Answering "What is the capital of France?" with "Paris."
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6. Text Summarization: Generating concise summaries of long documents.

   • Example: Summarizing a news article into a few key points.
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7. Speech Recognition: Converting spoken language into text.

   • Example: Transcribing a voice recording into written text.
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8. Text Generation: Creating human-like text based on prompts or data.

   • Example: Generating a product description from a few keywords.
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