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vi3k6i5 / flashtext

Extract Keywords from sentence or Replace keywords in sentences.
MIT License
5.59k stars 599 forks source link

Include links to other projects? #36

Closed thoppe closed 6 years ago

thoppe commented 6 years ago

flashtext is great, thank you for building, documenting, and writing a post about it!

I've incorporated it into our pipeline and saw a 60x speedup with respect to the regex matching we were doing. If you'd like to link back to our project (as proof yours is being used in the wild), feel free, or I can submit a PR for that. If not, thanks again for the quick drop-in library!

vi3k6i5 commented 6 years ago

Thanks Travis,

Awesome, please do send, or if it's too much effort just send the link, I will include it :)

Would love to showcase the usage happening out there.

Cheers, Vikash

On Sat 9 Dec, 2017, 02:20 Travis Hoppe, notifications@github.com wrote:

flashtext is great, thank you for building, documenting, and writing a post about it!

I've incorporated it into our pipeline https://github.com/NIHOPA/NLPre and saw a 60x speedup with respect to the regex matching we were doing. If you'd like to link back to our project (as proof yours is being used in the wild), feel free, or I can submit a PR for that. If not, thanks again for the quick drop-in library!

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/vi3k6i5/flashtext/issues/36, or mute the thread https://github.com/notifications/unsubscribe-auth/AC-Nws7Q7cFv9m3VLabM2n-1Lh3EMjWkks5s-aEPgaJpZM4Q7oRZ .

vi3k6i5 commented 6 years ago

Amazing. I will check out your library in details. Seems like something I could use.. :)

On Sat 9 Dec, 2017, 08:34 Vikash Singh, notifications@github.com wrote:

Thanks Travis,

Awesome, please do send, or if it's too much effort just send the link, I will include it :)

Would love to showcase the usage happening out there.

Cheers, Vikash

On Sat 9 Dec, 2017, 02:20 Travis Hoppe, notifications@github.com wrote:

flashtext is great, thank you for building, documenting, and writing a post about it!

I've incorporated it into our pipeline https://github.com/NIHOPA/NLPre and saw a 60x speedup with respect to the regex matching we were doing. If you'd like to link back to our project (as proof yours is being used in the wild), feel free, or I can submit a PR for that. If not, thanks again for the quick drop-in library!

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/vi3k6i5/flashtext/issues/36, or mute the thread < https://github.com/notifications/unsubscribe-auth/AC-Nws7Q7cFv9m3VLabM2n-1Lh3EMjWkks5s-aEPgaJpZM4Q7oRZ

.

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thoppe commented 6 years ago

@vi3k6i5 thanks! We made it in house, like you, to solve some of the problems we had with our text. Our problem wasn't scale, but historical or corrupted data.

vi3k6i5 commented 6 years ago

Closing as PR is there. Thanks 👍