Blog

Learn About Our Meetup

5000+ Members

GO >

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOIN

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

JOBS

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

CONTACT

[P] Frequency based selection vs TF-IDF score based selection

Written by torontoai on . Posted in Reddit MachineLearning.

I’m working on text segmentation with novels. I plan to use 40,000 words to generate word embeddings. When filtering these words, is it okay if I merely use the most frequent words or should I use something like a TF-IDF score?

submitted by /u/aklagoo
[link] [comments]

 

Plug yourself into AI and don't miss a beat

 

Sign up to Meetups
Linkedin Group
Discord Channel
Join our Mailing List

Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.