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Artificial Intelligence & Machine Learning vocabulary · Natural Language Processing

Sentiment analysis

Meaning in artificial intelligence & machine learning, with examples

nounCommon term

In artificial intelligence & machine learning, sentiment analysis means: An NLP task that detects the opinion or emotion in a text, for example whether a product review is positive, negative or neutral.

In Turkish: duygu analizi, duygu durum analizi

How it is used

Used on reviews, social media posts, surveys and support chats. It can be simple (positive or negative) or more detailed, by aspect: 'the battery is great but the screen is dim'. Sarcasm and mixed opinions make it hard.

Example sentences

  1. Sentiment analysis shows that complaints about delivery doubled after the price change.

  2. Our sentiment analysis model struggles with sarcasm in Turkish tweets.

Common collocations

  • sentiment analysis model
  • run sentiment analysis
  • aspect-based sentiment analysis
  • sentiment score
  • natural language processingThe area of AI that deals with human language, building systems that read, understand, translate, summarize or generate text and speech.
  • classificationA task in which a model puts each input into one of a fixed set of categories, for example deciding whether an email is spam or which product category a photo shows.
  • named entity recognitionAn NLP task that finds the names of people, organizations and places, as well as dates, amounts and similar items, in a text and labels each one with its type.
  • labelThe correct answer attached to a training example, such as 'spam' for an email or 'cat' for a photo, which a supervised model learns to predict.

This word in other fields

The same English word can have a different meaning in another field:

More terms: Natural Language Processing

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