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Fakespot Review Analyzer Report




Review Count

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Unreliable Reviewer
Phillip Sharpe
Reviewer Analysis:
✓ Overwhelming amount of positive reviews
✓ Correlation with other fake reviewers' profile data and language.
✓ Large number of reviews created on the same date.

Unreliable Reviewer
Virginia Stewart
Reviewer Analysis:
✓ Overwhelming amount of positive reviews
✓ Correlation with other fake reviewers' profile data and language.

Unreliable Reviewer
william bartelt
Reviewer Analysis:
✓ Overwhelming amount of positive reviews
✓ Language utilizes many superlatives or is suspiciously positive
✓ Correlation with other fake reviewers' profile data and language.


[["sleep", 105], ["sleeping", 81], ["pills", 79], ["like", 35], ["asleep", 28], ["taking", 25], ["great", 21], ["effects", 20], ["fall", 19], ["works", 19], ["body", 19], ["side", 19], ["time", 19], ["doesn't", 18], ["natural", 17], ["effective", 17], ["about", 17], ["work", 17], ["night", 17], ["wake", 17], ["feel", 17], ["tried", 15], ["thanks", 14], ["without", 14], ["makes", 14], ["brand", 14], ["anything", 13], ["first", 13], ["helped", 13], ["from", 12], ["good", 12], ["help", 12], ["didn't", 12], ["long", 11], ["happy", 11], ["before", 11], ["bad", 11], ["hard", 10], ["never", 10], ["who", 10], ["other", 10], ["formula", 10], ["three", 10], ["insomnia", 10], ["our", 9], ["right", 9], ["found", 9], ["anymore", 9], ["helps", 9], ["using", 9], ["minutes", 9], ["having", 9], ["effect", 9], ["know", 9], ["love", 9], ["tired", 8], ["better", 8], ["how", 8], ["problems", 8], ["her", 8], ["life", 7], ["far", 7], ["hours", 7], ["thank", 7], ["well", 7]]

Fakespot Review Grade

C
Our analysis detected 22.0% low quality reviews




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