  Sentiment analysis on social media such as Twitter provides organizations and
individuals an effective way to monitor public emotions towards them and their
competitors. As a result, sentiment analysis has become an important and
challenging task. In this work, we have collected seven publicly available and
manually annotated twitter sentiment datasets. We create a new training and
testing dataset from the collected datasets. We develop an LSTM model to
classify sentiment of a tweet and evaluate the model with the new dataset.
