Extracting company names from text - IEEE Conference ...
Extracting company names from text is one problem; recognizing subsequent references to a company is another. The author addresses both problems in an implemented, well-tested module that operates as a detachable process from a set of natural language processing tools.…
US5287278A - Method for extracting company names from text ...
A method for extracting company names from textual information uses a combination of heuristics, exception lists, and extensive corpus analysis. The method first locates company name suffixes (i.e., Company, Corporation) and attempts to locate the beginning of the company name. The method works on both mixed-case text and capitalized text.Cited by: 24…
python - Improving the extraction of human names with nltk ...
And that’s exactly what is happening to BTC prices." """ names = get_human_names(text) print "LAST, FIRST" for name in names: last_first = HumanName(name).last + ', ' + HumanName(name).first print last_first Output: LAST, FIRST Velde, Francois Branson, Richard Galactic, Virgin Krugman, Paul Summers, Larry Colas, Nick…
Method for extracting company names from text - General ...
Feb 15, 1994 · A method for extracting company names from textual information uses a combination of heuristics, exception lists, and extensive corpus analysis. The method first locates company name suffixes (i.e., Company, Corporation) and attempts to locate the beginning of the company name. The method works on both mixed-case text and capitalized text.…
Extract company names/job titles from free text
Job Title: a text field containing the title and the name of the company. The text is free, non-standardized, French and / or English and can contain typos. Ex: Director Big Data Analytics with Google, Commercial Manager at [missing text] , Manager at googole ...…
Extracting names, emails and phone numbers - Medium
Apr 21, 2016 · Extracting names, emails and phone numbers. As part of my exploration into natural language processing (NLP), I wanted to put together a quick guide for extracting names, emails, phone numbers and other useful information from a corpus (body of text). I’ll be using python for this example, but other languages may prove just as useful.Author: Alexander Crosson…
How to Extract Email Addresses, Phone Numbers, and Links ...
Sep 19, 2017 · In the text document that you want to extract specific text from, press Control + F or Command + F to open the search bar. Click the * icon on the far right to enable regex mode, then type or paste in your regex script. Now, click Find All, and Sublime Text will highlight and select every instance of your text it finds.…