APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Classifying an email into spam, work related and private comes under?
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Descriptive task
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Binary classification model
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Regression model
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Multiclass classification model
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Explanation:
Detailed explanation-1: -BERT model can be used for applications like generate text embeddings, text classification, named entity recognition, and question answered. To classify spam messages, the BERT model is best for this task as it contains many versions. The base model suits the needs of this research, especially for spam detection.
Detailed explanation-2: -Binary Classification. Binary classification refers to those classification tasks that have two class labels. Examples include: Email spam detection (spam or not).
There is 1 question to complete.