AUTHENTIC AND FAKE REVIEWS RECOGNITION ON E-COMMERCE WEBSITES THROUGH SENTIMENT ANALYSIS AND MACHINE LEARNING TECHNIQUES

Authentic and Fake Reviews Recognition on E-Commerce Websites through Sentiment Analysis and Machine Learning Techniques

The proliferation of e-commerce has led to an overwhelming volume of customer reviews, posing challenges for consumers who seek reliable product evaluations and for businesses concerned with floorcare the integrity of their online reputation.This study addresses the critical problem of detecting fake reviews by developing a comprehensive framework

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Petrographic and mineralogical structure of alluvial meadow dark-coloured soils of delta of the river of Volga

Results of research of petrographic and mineralogical structure of alluvial meadow dark-coloured soils are resulted.Studying Footwear soil parts has allowed to receive the qualitative and quantitative characteristic of clay minerals.Their Hair Spray influence on physical properties is established.At an intensive irrigation of cultivated cultures mo

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Metabolites Identified during Varied Doses of Aspergillus Species in Zea mays Grains, and Their Correlation with Aflatoxin Levels

Aflatoxin contamination is associated with the development of aflatoxigenic fungi such as Aspergillus flavus and A.parasiticus on food grains.This study was aimed at investigating metabolites produced during fungal development on maize and their correlation with aflatoxin levels.Maize cobs were harvested at R3 (milk), R4 (dough), and R5 (dent) stag

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