Investigate feature engineering methods.

[gksb88]

1. Standard NLTK stuff like lematize, stop words
2. BOW with n-gram or n-gram skip models
3. word2vec

[devYonz]

I will start on this on Monday with a choice of three to experiment and apply to NB and SVM solutions.

[gksb88]

Sounds good. I think thats where the problem lies. In the meanwhile, ill try to look at methods to improve accuracy on the neural net front.

[devYonz]

For tonight can you try saving the captures while training the net. Instead of showing the Image, basically the section for selecting an optimal neural network architecture

…

On Sun, Dec 2, 2018, 2:00 PM gksb88 ***@***.***> wrote: Sounds good. I think thats where the problem lies. In the meanwhile, ill try to look at methods to improve accuracy on the neural net front. — You are receiving this because you were assigned. Reply to this email directly, view it on GitHub <#3 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AIO_6GMwdpCpsNe7ZWzIuYDyWJQuP5nNks5u1E2AgaJpZM4YoXjW> .

[gksb88]

Will do