Skip To Main Content
Hadiqa Azam on Muck Rack

Hadiqa Azam

As seen in: Nature
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Hadiqa

Contact Hadiqa, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

A transformer-based ensemble algorithm for fake review detection in e-commerce systems

|
By Hassan Chaudhry, Musaed Alhussein, Khursheed Aurangzeb, Waqar Ahmad, Muhammad Majid, Hadiqa Azam
| Nature Verified
Abstract Reviews and ratings are essential components of e-business feedback. Since positive reviews entice customers for any business, websites tend to manipulate reviews to promote their business or demote their opponents. This paper presents a novel approach for identifying fake reviews by leveraging the power of transformer-based models, specifically BERT (Bidirectional Encoder Representations from Transformers), and the semantic embeddings from GloVe (Global Vectors for Word Representation).
Open in Who Shared Issue with article?
See all 1 articles