A project for learning machine learning with Keras
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pretrained_w2v
sentiment
utils
w2v
.gitignore
Readme.md
main.py

Readme.md

Projects

sentiment

This is a basic LSTM sentiment analyser, train on an ad-hoc dataset of movie reviews, yelp reviews and manually classified tweets. Data should be in files with each line being a single entry:

Sentence<tab>classification

Classification should be a number. 0 indicates negative, 1 indicates positive and 2 indicates neutral.

w2v

This is an attempt at training a word2vec model. Using three datasets:

pretrained-w2v