Examples of natural language processing (NLP) techniques

Natural language processing (NLP) technology is a technology in the field of artificial intelligence for processing natural language text or speech signals. Here are some examples of natural language processing techniques:

  1. Machine translation: Machine translation is a natural language processing technology that translates text in one language into text in another language, such as translating English into Chinese.

  2. Named entity recognition: Named entity recognition is a natural language processing technology that can identify named entities in text, such as names of people, places, organizations, etc.

  3. Sentiment Analysis: Sentiment analysis is a natural language processing technique that identifies sentiment in text, such as positive, negative, or neutral, and represents it numerically.

  4. Speech recognition: Speech recognition is a natural language processing technology that converts the speaker's voice signal into text or instructions, such as converting voice instructions into text instructions.

  5. Information extraction: Information extraction is a natural language processing technology that can extract specific information from text, such as extracting stock prices and stock codes from news reports.

  6. Text classification: Text classification is a natural language processing technology that can classify texts according to predefined categories, such as classifying news reports according to topics.

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