Description

In this ,investigate the utility of linguistic features for detecting the sentiment of Twitter messages.

Evaluate the usefulness of existing lexical resources as well as features that capture information about the informal and creative language used in micro blogging.

Supervised approach to the problem, but leverage existing hash tags in the Twitter data for building training data.

Classify the opinion as positive, negative and neutral.