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Answer: Combine a rule-based filtering system with a machine learning model to detect and filter out spam or irrelevant news articles in real-time.
To effectively detect and filter out spam or irrelevant news articles in real-time, a combination of a rule-based filtering system and a machine learning model should be used. The rule-based system can quickly filter out obvious spam or irrelevant articles based on predefined keywords or patterns. The machine learning model can then further analyze the content to classify articles as relevant or irrelevant with higher accuracy. This approach ensures that the solution can process news articles in real-time while maintaining high-quality content.
Author: LeetQuiz Editorial Team
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You are developing a stream processing solution for a financial news aggregator that analyzes real-time news feeds from multiple sources. The solution needs to detect and filter out spam or irrelevant news articles. How would you approach this task?
A
Disable any filtering or spam detection and process all incoming news articles.
B
Implement a rule-based filtering system that uses predefined keywords or patterns to detect and filter out spam or irrelevant news articles.
C
Use a machine learning model to classify news articles as relevant or irrelevant, but do not consider real-time processing requirements.
D
Combine a rule-based filtering system with a machine learning model to detect and filter out spam or irrelevant news articles in real-time.
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