Simple algorithm to classify English sentences as positive or negative

Simple model that gives weight to words of a corpus based on IMDB reviews to predict sentiment (Positive vs Negative) on sentences in English

• Run sentiment-analysis-create-model.py to train and save your model on the data
• Run sentiment-analysis-run-model.py to make predictions on the samples provided in it

loaded_model = pickle.load(open(classifier_filename, 'rb'))
loaded_vectorizer = pickle.load(open(vectorizer_filename, 'rb'))

testList = list()
testList.append("this is great")
testList.append("this is awful, the worst product I bought")

testJulien = loaded_vectorizer.transform(testList)

print(loaded_model.predict(testJulien))

python3 sentiment-analysis-run-model.py
[1 0 0 1 0 0 0 0 0 0 1]