Sentiment Analysis for Twitter : Going Beyond Tweet Text

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 det...

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Bibliographic Details
Published in:arXiv.org 2016-11
Main Authors: Poddar, Lahari, Halder, Kishaloy, Jia, Xianyan
Format: Article
Language:English
Subjects:
Data mining
Digital media
Electronic government
Sentiment analysis
Social networks
Online Access:Get full text
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Summary: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.
ISSN:2331-8422