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  2. 0. I want to detect company names with regex by using Python. This is my idea: Company name should have between 1 and 3 words. First word in company name should be capitalized. One of words in company name can have .com or .co (Amazon.com Inc) Last word of company name (fourth word) should be Inc. , Ltd, GmbH, AG, GmbH, Group, Holding etc ...

  3. Regex - Company name - Stack Overflow

    stackoverflow.com/questions/16030856

    0. As the question currently stands, no it is not possible to create a regex for company names. It would be possible if you are able to create a PATTERN. Means e.g. A company name always: starts with an uppercase letter. has a comma. after the comma there is always one of "a.s." or "s.r.o."

  4. This is the exact format the company names list is in: SZIMIKRON Ipari Kft. Tigra Computer- és Irodatechnikai Kft. Tradeland Kft. Török László EV Török Kulcsszervíz Tungsram Operations Kft. Tutti Élelmiszeripari Kft. Water and Soil Kft. Webkey Development Kft. ZDMnet

  5. How to Find Company Names in Text Using Python

    stackoverflow.com/questions/56155501

    Yeah just extracting titlecase words gets me somewhat close, and then I was hoping to filter those if there is a close match to company_name above a certain match threshold. But I still get the same problem where some company names are one word (e.g., Visa) whereas others are multiple (e.g., American Airlines vs American Tower).

  6. 8. A pretty good generator is: generatedata. It's very customizable: you can generate names, streets, telephone numbers, a random entry from a specified list. You can export the generated data in different formats like: SQL, HTML, Excel, XML and CSV.

  7. Multiplication is done using numpy. The driver would collect back all the results from the different workers and match the indices (A [13] and B [21]) to the actual names in the original dataset — and we’re done! I was able to run the exact code described in the note, but one part of it seems kind of odd : b_mat_dist = broadcast_matrix(a ...

  8. You could probably try using Fuzzy String Matching. You can use this Python Library. It internally uses the Levenshtein Distance (as suggested by @user3080953) to calculate the similarity between two words/phrases. You could probably set a threshold value, above which you would consider two words/phrases to be similar.

  9. named entity recognition - Company name extraction with...

    stackoverflow.com/questions/72986264/company-name-extraction-with-bert-base...

    Hi I'm trying to extract the full company name from a string description about the company with bert-base-ner. I am also open to trying other methods but I couldn't really find one. The issue is that although it tags the orgs correctly, it tags it by word/token so I can't easily extract the full company name without having to concat and build ...

  10. Getting a list of suffixes from the company names

    stackoverflow.com/questions/40049268

    I have a data frame df with a column name - Company. Few examples of the company names are: ABC Inc., XYZ Gmbh, PQR Ltd, JKL Limited etc. I want a list of all the suffixes (Inc.,Gmbh, Ltd., Limited...

  11. For instance, my database might contain a company with name "A. B. Widgets & Co Ltd." while my incoming data might reference "AB Widgets Limited", "A.B. Widgets and Co", or "A B Widgets". Some words in the company name (A B Widgets) are more important for matching than others (Co, Ltd, Inc, etc). It's important to avoid false matches.