analysis for companiesit is vital to closely monitor the public reception of key events such as product launches or press releases with real-time access and easy accessibility of user-generated content on twitterit is now possible to do sentiment classification of tweets sometimes also called opinion miningit is an active field of research in which several companies are already selling their products as this shows that market obviously existswe have motivation to use our classification muscles built in the previous to build our own home-grown sentiment classifier sketching our roadmap sentiment analysis of tweets is particularly hard because of twitter' size limitation of characters this leads to special syntaxcreative abbreviationsand seldom well-formed sentences the typical approach of analyzing sentencesaggregating their sentiment information per paragraph and then calculating the overall sentiment of documentthereforedoes not work here clearlywe will not try to build state-of-the-art sentiment classifier insteadwe want touse this scenario as vehicle to introduce yet another classification algorithmnaive bayes explain how part of speech (postagging works and how it can help us show some more tricks from the scikit-learn toolbox that come in handy from time to time