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Ganpat Singh Chauhan on Muck Rack

Ganpat Singh Chauhan

As seen in: Nature
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Articles

GEmFakeABSA: graph-embedded fake review detection using aspect-based sentiment analysis

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By Ganpat Singh Chauhan, Atul Verma, Shikha Chaudhary, Geetanjali Maurya
| Nature Verified
Abstract The bulk of customers and manufacturers who use e-business platforms depend largely on user comments when making purchase decisions and improving product quality. Unfortunately, this reliance also creates an opening for dishonest reviewers to deceive both consumers and producers by posting fake reviews.
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Supervised attention method with co-reference resolution for aspect extraction

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By Shalini Puri, Neeraj Garg, Ganpat Singh Chauhan, Ravi Nahta
| Nature Verified
Abstract Aspect-based sentiment analysis (ABSA) of review texts remains a challenging problem due to the contextual interdependence of aspect evaluations across multiple sentences. Most existing approaches perform aspect extraction in isolation, limiting their ability to capture aligned semantics and multi-word (M-W) aspect terms in complex, multi-sentence (M-S) reviews.
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