Which of the following NLP tasks can benefit from BERT-based models?*Stock market predictionSpeech synthesisSentiment analysisImage recognition

Question

Which of the following NLP tasks can benefit from BERT-based models?*Stock market predictionSpeech synthesisSentiment analysisImage recognition
🧐 Not the exact question you are looking for?Go ask a question

Solution 1

BERT-based models are primarily used for natural language processing tasks. Among the options provided:

  1. Stock market prediction: This is not a typical application for BERT-based models. While it's possible to use NLP techniques to analyze news articles or social media posts that might impact sto Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solv

This problem has been solved

Similar Questions

Which of the following NLP tasks can benefit from BERT-based models?*Stock market predictionSpeech synthesisSentiment analysisImage recognition

Which of the following is an NLP construct? Question 5 options: System UIMA Entity Facial recognition

In which of the following areas is machine learning commonly applied?Answer areaMedical diagnosisStock market predictionSpeech recognitionAll of the above

Which of the following is a segment of the money market?  A. Foreign exchange market  B. Stock market  C. Real estate market  D. Commodity market

The market price of common stock is based on investors’ expectations about future earnings. This statement is

1/3