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.
[
add
]
[
|
|
...
]