Mobile devices play a significant part in a user’s communication methods and much data that they read and write is received and sent via mobile phones, for instance SMS messages, e-mails, Twitter tweets and social media networking feeds. One of the main goals is to make people aware of how much negative and positive content they read and write via their mobile phones. Existing sentiment analysis applications perform sentiment analysis on downloaded data from mobile phones or use an application installed on another computer to perform the analysis. The sentiment analysis described in this paper is to be performed locally on the mobile phone enabling immediate and private analysis of personal messages and social media contents, allowing the users to be able to reason about their mood and stress level that may be affected by what they had been receiving. Experimental results showed the effectiveness of the proposed system on Android smartphones with varying computational capabilities.
|Publication status||Published - 10 Sep 2012|
|Event||Proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems - San Sebastian, Spain|
Duration: 10 Sep 2012 → 12 Sep 2012
|Conference||Proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems|
|Period||10/09/12 → 12/09/12|