Difference between revisions of "Demo Day Page Google Classifier"
Jump to navigation
Jump to search
| Line 39: | Line 39: | ||
*https://www.tensorflow.org/tutorials/word2vec | *https://www.tensorflow.org/tutorials/word2vec | ||
*https://machinelearnings.co/tensorflow-text-classification-615198df9231 | *https://machinelearnings.co/tensorflow-text-classification-615198df9231 | ||
| + | *http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/ | ||
Revision as of 16:51, 12 February 2018
| Demo Day Page Google Classifier | |
|---|---|
| Project Information | |
| Project Title | Demo Day Page Google Classifier |
| Owner | Kyran Adams |
| Start Date | 2/5/2018 |
| Deadline | |
| Keywords | Accelerator, Demo Day, Google Result, Word2vec, Tensorflow |
| Primary Billing | |
| Notes | |
| Has project status | Active |
| Is dependent on | Accelerator Seed List (Data) |
| Copyright © 2016 edegan.com. All Rights Reserved. | |
Project
This is a tensorflow project that classifies webpages as either a demo day page or not. Not sure exactly the format of the input and output of the program. The classifier itself should take the output of Peter's DemoDayHits.py program and output whether the page is a demo day page. It may later take other inputs, such as the text of the page itself.
A demo day page is an advertisement page for a "demo day," which is a day that cohorts graduating from accelerators can pitch their ideas to investors. These demo days give us a good idea of when these cohorts graduated from their accelerator.
Located:
E:\McNair\Projects\Accelerators\Spring 2018\google_classifier\
Training data:
E:\McNair\Projects\Accelerators\Fall 2017\Demo Day URLs.xlsx
Possibly useful programs
Google bindings for python
E:\McNair\Projects\Accelerators\Spring 2017\Google_SiteSearch
PDF to text converter
E:\McNair\Projects\Accelerators\Fall 2017\Code+Final_Data\Utilities\PDF_Ripper
HTML to text converted
E:\McNair\Projects\Accelerators\Fall 2017\Code+Final_Data
