Analyze datasets regarding Amazon Instant Video products

Reference no: EM131904470

Assignment -

The Amazon specifically "Instant Video product" metadata and reviews:

Needs to review and analyze 2 datasets regarding Amazon Instant Video products. The reviews dataset contains user reviews of Amazon Instant Video products along with other relevant information (see set-I below). The Meta dataset contains data about the Amazon Instant Video products themselves (set-II below).

Set-I: Reviews data description

reviewerID - ID of the reviewer
asin - ID of the product
reviewerName - Name of the reviewer
helpful - Helpfulness rating of the review
reviewText - Text of the review
overall - Rating of the product
summary - Summary of the review
unixReviewTime - Time of the review (unix time)
reviewTime - Time of the review (raw)

Set-II: Meta data description

asin - ID of the product
title - Name of the product
price - Price in US dollars (at time of crawl)
imUrl - URL of the product image
related - Related products
salesRank - Sales rank information
brand - Brand name
categories - List of categories the product belongs to

Requirement: Write up should not be more than 300 words (don't need to be fancy, just basic bullet pointers would be helpful)

Introduction: This section introduces your problem, why it is important, who cares, and the overall plan for approaching your problem.

Background/Related Work: This section discusses relevant literature for your project.

Approach: This section details the framework of your project. Be specific, which means you might want to include equations, figures, plots, etc.

Experiment: This section begins with what kind of experiments you're doing, what kind of dataset(s) you're using, and what is the way you measure or evaluate your results. It then shows in detail the results of your experiments. By details, we mean quantitative evaluations (show numbers, figures, tables, etc) or qualitative results (show images, example results, etc).

Conclusion: What have you learned? Suggest future ideas.

References: If you borrowed the idea from another work, please give credit.

Supplementary Material is not counted toward your 6-8 page limit and is a required part of your submission. Examples of items to place in your supplementary material: Source code. Cool videos, interactive visualizations, demos, etc.

Attachment:- Assignment File.rar

Reference no: EM131904470

Questions Cloud

Working in teams of female and male member : Working in teams of female and male member, develop a list of behaviors that could be classified as quid pro quo harassment or hostile environment.

Analyzes how this concept was implemented by british airways : Analyzes how this concept was implemented by British Airways, since it is among the first companies to implement such a program.

Experience with a restaurant dinner : Discuss the importance of having a quality control system with examples from your experience with a restaurant dinner?

Write a research paper using given information : Each response should be clear and concise, no more than three (3) pages, double spaced, in length. Papers should include.

Analyze datasets regarding Amazon Instant Video products : The Amazon specifically "Instant Video product" metadata and reviews: Needs to review and analyze 2 datasets regarding Amazon Instant Video products

Determination of spare parts inventory : You are responsible for the determination of spare parts inventory at the service aircraft repair.

Analyze the tests conducted on materials found in structure : Analyze the tests conducted on materials found in the structure. What types of materials were used in the construction of the house?

Differences between service and manufacturing technology : Explain the differences between service and manufacturing technology with a focus on the aeronautical industry.

What is the supply chain operations reference : What is the Supply Chain Operations Reference (SCOR) model and why is it a must to consider in supply chain management?

User Account

All Pages