  Fake review identification is an important topic and has gained the interest
of experts all around the world. Identifying fake reviews is challenging for
researchers, and there are several primary challenges to fake review detection.
We propose developing an initial research paper for investigating fake reviews
by using sentiment analysis. Ten research papers are identified that show fake
reviews, and they discuss currently available solutions for predicting or
detecting fake reviews. They also show the distribution of fake and truthful
reviews through the analysis of sentiment. We summarize and compare previous
studies related to fake reviews. We highlight the most significant challenges
in the sentiment evaluation process and demonstrate that there is a significant
impact on sentiment scores used to identify fake feedback.
