signs_minimal_example.py

import signs as signs
import pandas as pd

# load some text
df = pd.read_csv('tweets.csv').text

# load vectors
e = signs.Embeds("glove.twitter.27B.25d.txt")

# get Keras embeddings layer
embedding_layer, x = e.layer(docs)

# evaluate results after training a Keras model 
preds = signs.Preds(x_val, y_val, e.word_index, model)