Skip to main content

interzoid_company_name_match_key

Python package for generating a similarity key from the input data used to match with other similar company name data. Use the generated similarity key, rather than the actual data itself, to match and/or sort company name data by similarity. This avoids the problems of data inconsistency, misspellings, and name variations when matching within a single dataset, and can also help matching across datasets or for more advanced searching.

The key generation is based on a series of tests, algorithms, AI, and an ever-growing body of Machine Learning-based generated knowledge. As the context of the data is known, in this case organization/company names, it performs far better than generic string comparison algorithms.

Usage

To generate the similarity key, you will need the following information:

An API is called by the package to access the Cloud server that generates the similarity key.

Begin by importing the package:

from interzoid_company_name_match_key import company_name_match_key

Then, provide the information into the get_key() method:

sim_key, credits, http_code, msg = company_name_match_key.get_key('YOUR-API-KEY','Bank of America')

#200 is the HTTP status for OK
if http_code == 200:  
    print(sim_key, msg, credits)
else:
    print(sim_key, "error:", http_code, msg, credits)

The return values will be the generated similarity key, a code (success or failure), how many remaining credits on your API key, and any error messages. The similarity key can be used to search for other similar company names, to sort large datasets by similarity, and perhaps use additional attributes to identify duplicates/redundancy.

Examples:

Bank of America  ->  wAR3laPfUVvB784_iH0cw7aQbKhr26sophlZ4z7iqtM
Bank of Amer Corp  ->  wAR3laPfUVvB784_iH0cw7aQbKhr26sophlZ4z7iqtM

AMAZON.COM  ->   EP88bx0VFDaIh-cOt86c8pOJ6lNkb_TWiKFpmMKXakY
Amazon Inc.  ->  EP88bx0VFDaIh-cOt86c8pOJ6lNkb_TWiKFpmMKXakY

Release files for interzoid-company-name-match-key 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for interzoid-company-name-match-key 1.0.0
File Size Uploaded
interzoid_company_name_match_key-1.0.0.tar.gz 2.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for interzoid-company-name-match-key 1.0.0
File Interpreter ABI Platform
interzoid_company_name_match_key-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 6.6 kB

Release files / interzoid_company_name_match_key-1.0.0.tar.gz

Download URL interzoid_company_name_match_key-1.0.0.tar.gz
Size 2.8 kB
Tags Source
SHA-256 checksum
How to use checksums
674b00f14c3544f3dd25099590147a0d3c0dfd8983453ce9d038831e4262a987
BLAKE2b-256 checksum
How to use checksums
c1ae4bf2566af6cbf014b7ae161bb08f9cf75186d1968cdad696181c6a47f49d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.1

Release files / interzoid_company_name_match_key-1.0.0-py3-none-any.whl

Download URL interzoid_company_name_match_key-1.0.0-py3-none-any.whl
Size 3.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ab33ce478722ced7275e5c6420a933aca44cea7700a13966e9a7116dd1e258b3
BLAKE2b-256 checksum
How to use checksums
e2d4ecc5d0409f8a9236f83639fc08ade9b88f51f84abb97c3b38ad8017aafa6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.1

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page