Abstract
Sentiment analysis of micro-blogs, such as twitter, is one of the hottest topics. The speed of information propagation is becoming faster and faster. We cannot control the flow of information on tweets. So, we need to know the characteristics of such communication tools. The present paper extracts the features of emotional tweets, based on feature selection by SVM. An attention is paid to part of speech, particularly to the particles.
| Original language | English |
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| Title of host publication | 25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and 4th International Symposium on Sensor Network and Application, SNA 2012 |
| Pages | 105-110 |
| Number of pages | 6 |
| Publication status | Published - 2012 |
| Event | 25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and the 4th International Symposium on Sensor Network and Application, SNA 2012 - New Orleans, LA, United States Duration: Nov 14 2012 → Nov 16 2012 |
Other
| Other | 25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and the 4th International Symposium on Sensor Network and Application, SNA 2012 |
|---|---|
| Country/Territory | United States |
| City | New Orleans, LA |
| Period | 11/14/12 → 11/16/12 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
- Industrial and Manufacturing Engineering