Anomaly detection in texts poses challenges due to defining anomalies, unlike sensors in industrial systems. Fake reviews, a key area, present difficulties in distinguishing authenticity due to similarities.
A crucial line of research in anomaly detection involves fake reviews, classified as untruthful, biased, or nonsensical. It is challenging to differentiate between real and fake reviews.
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