A dataset sample of the most reviewed and best-selling books on Amazon

This is our implementation for our paper: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation

Extract Amazon data with the #1 Amazon Scraper API, including search results, product details, offers, reviews, Q&A, bestsellers, and seller information. Start your free trial now!

Sentiment analysis on product reviews with identification of most reviewed products from Amazon product reviews dataset consists of 35000 reviews.

Data Visualization and Data Analytics with Tableau by solving real data analytics problems

This code explains how to perform (Exploratory Data Analysis) EDA using python on the amazon Alexa dataset.

A notebook to analyze Amazon Recommendation Review Dataset.

This repository contains data related to Amazon UK sales from 2018 to 2021

EDA on Amazon Data of a few million customers & then building a CNN Deep Learning Model.

A session-based recommendation system to recommend baby products on Amazon using 4 models namely ITEMKNN, POP, GRU4Rec, and STAMP, STAMP performs the best in all accuracy metrics followed by GRU4Rec. We also did result analysis, including ranking accuracy, coverage, popularity.

This Capstone Project summarizes our preliminary (Exploratory Data Analysis EDA) analysis on the dataset, the Black Friday Dataset from Amazon. It shared some insightful results from the EDA and descriptive statistics. Further, this paper identifies a set of analyses used to answer the business questions on the dataset and justifies those findings.

Exploratory analysis of 1,000+ Amazon products, focusing on pricing, ratings, reviews, and customer behavior. Includes visualizations, sentiment insights, and key patterns across product categories to support data-driven strategies.

In this exercise, I was given some data about some purchases done through Amazon! I had to follow the directions and answer the questions and complete the tasks.

This project has analyzed the Amazon Review dataset to find any motivating insight concerning heterogeneous recommendations and answer the following questions: • Which users reviewed products from several domains? • What are the pairs of domains connected via bridge users? • What is the relation between domains? • What is the accuracy of using a…

Amazon Product Sales Data Analysis: Trends and Insights

Amazon에서 가장 많이 리뷰된 및 베스트셀러 도서의 データセット 샘플

Data Analysis: Amazon E-commerce (SQL + Python). Sentiment Analysis & Market Insights for 6k+ products.

sentiment Analysis and fake review detection of Amazon reviews by K-Means clustering

#1 Amazon Scraper API를 사용하여 검색 결과, 상품 상세 정보, 오퍼, 리뷰, Q&A, 베스트셀러 및 판매자 정보를 포함한 Amazon 데이터를 추출합니다. 지금 무료 평가판을 시작하십시오!

Neural semantic search engine using BERT embeddings for intelligent product discovery and query-to-product relevance scoring