khyatigarg1 / test_company Goto Github PK

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\f0\fs24 \cf0 Title: 
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\outl0\strokewidth0 \strokec2 CompanyName2Vec: Company Entity Matching Based on Job Ads\
Project: CEM\
Author: Ran Ziv\
Date: September 2021\
\
Contains:\
\'97\'97\'97\'97\'97\'97\
- /code/ - directory with an archive of the CEM project\
   - Project contains several directories:\
      - This Readme file\
      - jobAdsProcessing - contains fingerprinting and job ads corpus processing jobs\
      - model - contains the method building blocks\
         - model_emb.py - primary executable, includes environmental settings. Loads the input data, generates the model and calls the evaluation process\
         - evaluate _emb.py - contains the evaluation process. Calls the index_emb.py\
         - Index_emb.py - builds an index for evaluation purposes\
         - datasetFiltering.py - prepare job ads corpus and save it to input directory. includes filtering capabilities for testing purposes\
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\outl0\strokewidth0       - utils - contains several utilities, like t-test calculator, fuzzy distance test function, data export/import functions, etc. \expnd0\expndtw0\kerning0
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\cf2 - /Data/cem-input-export.zip - compressed directory with input directories and files for the CEM project\
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\outl0\strokewidth0 /Data/cem-output-export.zip - compressed directory with output directories and files for the CEM project\expnd0\expndtw0\kerning0
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\cf2 Instructions:\
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\cf2 - Download and extract files from both Code and Data directories\
- Make sure python 3.6.8 or compatible version of it is installed and all required packages are installed\
- Edit environment variables in model_emb.py\
- Execute model_emb.py\
- Results will be printed to stdout\
}