Comments (2)
I can work on it Wednesday afternoon. Will still give us a couple of days for review.
from detox_bot2.
Proposal due is soon. Need this to be done Feb 19th PST so we have some time to review. If someone has time to do it please go ahead and take it from me. :)
from detox_bot2.
Related Issues (10)
- [High] Research if we can use Spark( + MLlib) and replace current scikit-learn based toxic chat classifier. Where to run it(AWS, GCP, etc?) HOT 5
- Decide what progress we are going to make and address it to individual member(s) HOT 2
- Summarize what progress we made HOT 1
- [Low] Update TwitchBot (written in python) and make it runnable and deployable to multiple channel easily. HOT 1
- [Low] Adding more stop words. detox_bot uses stopwords which is pre-defined set of words plus a few custom words that I added. However, there are more lot of stopword that's recurring too much or pretty much useless when detecting toxic chat. I would like to decent amount of stop words in there ( not just a, the, this, that, etc ) so that we can expect better accuracy. HOT 2
- [HIigh] Writing final report and submit
- Research Kubernetes services for detox application HOT 3
- submit the project proposal
- [High] Current detox_bot uses MultinomialNB that allows out-of-core training ( means you can keep training it without starting over ) through partial_fit(). However, entire feature is already decided at the first then when training. I see there is a few way, including using word2vec on Keras or etc, and wondering if we can use it. HOT 1
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