Textblob sentiment algorithm

Question

Does anyone know how textblob sentiment is working? I know it is working based on Pattern but I could not find any article or document explain how pattern assigns polarity value to a sentence.

Answer 1

Here is the code of textblog sentiment module: https://github.com/sloria/TextBlob/blob/90cc87ab0f9e25f37379079840ec43aba59af440/textblob/en/sentiments.py

As you can see, it has a training set with preclassified movie reviews, when you give a new text for analysis, it uses NaiveBayes classifier to classify the new text's polarity in pos and neg probabilities.