predict = {
const trimmed = text.trim().toLowerCase().replace(/(\.|\,|\!)/g, '').split(' ');
const inputBuffer = tf.buffer([1, metadata.max_len], "float32");
trimmed.forEach((word, i) => inputBuffer.set(metadata.word_index[word] + metadata.index_from, 0, i));
const input = inputBuffer.toTensor();
const predictOut = model.predict(input);
mutable positivity = predictOut.dataSync()[0];
predictOut.dispose();
return predictOut;
}