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Scripts to fetch and analyse ebay items

Python 1.53% XSLT 0.05% Makefile 0.08% Shell 0.37% Java 97.77% JavaScript 0.01% CSS 0.18%

ebay-project's Introduction

eBay-Project

###api-scripts

Scripts to get ebay data

Sample Shell Command to extract title from xml response sed -e "s/xmlns/ignore/" WomensAccessoriesResponse/WomensAccessoriesResponse1.xml | xmllint --xpath "/findItemsByCategoryResponse/searchResult/item/title" -

###ExtractedXMLData

XML file extracted through eBay API

###MalletLDA #####-Code

  • GenerateInput.py

    Parse XML file and generate input file for Mallet

  • MalletCommandLine.py

    Run Mallet to generate topic model

  • ParseOutputSimilarity.py

    Parse topic model Calculate distance based similarity to generate recommender Write recommender to html file

  • Clustering.py

    Apply DBScan to generated topic model

#####-mallet-2.0.7/Scripts Include scripts to calculate perplexity.

#####-DemoForComparison Include visualization to demo the comparison between our's and ebay's recommender

#####-inputForMallet Include input file for Mallet (Clothing, Shoes, Accessory, CrossCSA, CrossColl)

#####-GenratedTopicModel Include Topics generated by Optimal LDA Model and HDP Model

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