Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject Sentiment Analysis
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 2020 | How do you propose your code changes? Empirical Analysis of Affect Metrics of Pull Requests on GitHub | Ortu, M; Destefanis, G; Graziotin, D; Marchesi, M; Tonelli, R |
| 2013 | The Role of Text Pre-processing in Sentiment Analysis | Haddi, E; Liu, X; Shi, Y |