eddiepease / company2vec Goto Github PK

Not really an issue. I'm just writing to say thanks for sharing the idea and code.

I made significant additions to your code for my use case and shared it here: https://github.com/cassinaooo/python-vendor-crawler.

I made it run en-masse and output files with the crawl. I also removed the Glove part since I'm using other models.

Hope someone else finds this helpful.

How does vector embedding perform compared to fuzzy string matching?

I’m exploring the usage of string matching like levenshtein distance, Jaro-Winkler among others.

Vector embedding seems similar in terms of addressing the issue of string similarity.

Bit is it the case that I may need to have access to good pre-trained models?

For example my use case is on identifying similar pharmacy names and their adresses.

I may have two different files and contain duplicates of pharmacy+address combinations. But the way these pharmacies and their respective adresses may have been wrongfully inputed.

I have cloned your repo and tried to run the script and I got the following error

FileNotFoundError: [Errno 2] No such file or directory: '.../company2vec/app/data/words_dictionary.json'

I'm running into an error with the setup file I believe because the AWX bucket no longer exists:
"An error occurred (NoSuchBucket) when calling the ListObjectsV2 operation: The specified bucket does not exist"
Can you check the bucket, or alternatively suggest another way to access the data files please? Any help appreciated!