Analysing sentiment of tweets is important as it helps to determine the
users' opinion. Knowing people's opinion is crucial for several purposes
starting from gathering knowledge about customer base, e-governance,
campaigning and many more...
In this report, we aim to develop a system to detect
the sentiment from tweets. We employ several linguistic features along with
some other external sources of information to detect the sentiment of a tweet. We show that augmenting the 140 character-long tweet with information harvested
from external urls shared in the tweet as well as Social Media features
enhances the sentiment prediction accuracy significantly.