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You work for a company that provides an anti-spam service designed to flag and hide spam posts on various social media platforms. Currently, your company's system uses a list of 200,000 keywords to identify suspected spam posts. If a post contains more than a few of these keywords, it is flagged as spam. However, this approach is limited and static as it relies only on predefined keywords. You want to leverage machine learning to improve the spam detection process by flagging spam posts for human review. What is the main advantage of implementing machine learning in this context?
A
Posts can be compared to the keyword list much more quickly.
B
New problematic phrases can be identified in spam posts.
C
A much longer keyword list can be used to flag spam posts.
D
Spam posts can be flagged using far fewer keywords.