Fake rewiew detection

Eliminate irrelevant elements and refine your corrective actions

Detect false online reviews and eliminate them from your benchmarks

Improve the authenticity of the analyses you conduct and make better decisions

Benefit from a tool that instantly monitors millions of reviews worldwide

With which tools?

With automated review collection and analysis

Easily collect data from the world's largest review and e-commerce platforms.
With automatic detection of false reviews

With a combination of three techniques: Natural Language Processing (NLP) for comment analysis, spectral partitioning for users and outlier detection for time series.
With decision support

With detailed analyses, you get reliable data and insights that show where you can improve.

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Our publications

- Financial Services & Compliance

Synthetic data or how to share sensitive data…

For a period of six months, 5 students from Centrale Supélec and ESSEC worked collaboratively with Sia Partners on building a Python library to create fake - which we'll call synthetic - data.
But what's the point of creating fake data? How could it help organizations?

2023

- Financial Services & Compliance

Introduction to OpenStreetMap: How to leverage…

In this article, we explore the use of OpenStreetMap for extracting geospatial data and implementing an approach to enhance the overall data quality. We delve into the key steps of data extraction including selecting the area of interest, data collection, cleaning, and preparing data for future use.

2023

- Marketing & Sales

Customer churn prediction with Data Science

Thanks to Machine Learning, companies can significantly improve their activities by leveraging their data. Machine Learning is a field of study of artificial intelligence that gives an AI the ability to "learn" from data.

2023

See our publications