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 8 of 8
| Issue Date | Title | Author(s) |
| 12-May-2023 | A Brain-inspired Hierarchical Interactive In-memory Computing System and its Application in Video Sentiment Analysis | Ji, X; Dong, Z; Han, Y; Lai, CS; Qi, D |
| 7-Nov-2019 | Cultural evolution of emotional expression in 50 years of song lyrics | Brand, CO; Acerbi, A; Mesoudi, A |
| 24-Nov-2020 | Does affective evaluation matter for the success of university-industry collaborations? A sentiment analysis of university-industry collaborative project reports | De Silva, M; Rossi, F; Yip, NKT; Rosli, A |
| 2024 | Essays in migration and regional trends in Germany | Popova, Maria |
| 16-Jul-2024 | Exploring new realms or losing touch? Assessing public beliefs about tourism in the metaverse–a big-data approach | Mahmoud, AB; Fuxman, L; Asaad, Y; Solakis, K |
| 26-Jan-2021 | Mining service quality feedback from social media: A computational analytics method | Lee, HJ; Lee, M; Lee, H; Cruz, RA |
| 20-Jan-2023 | Sentiment analysis of the Twitter response to Netflix's <i>Our Planet</i> documentary | Acerbi, A; Burns, J; Cabuk, U; Kryczka, J; Trapp, B; Valletta, JJ; Mesoudi, A |
| 18-Jun-2024 | TaneNet: Two-Level Attention Network Based on Emojis for Sentiment Analysis | Zhao, Q; Wu, P; Lian, J; An, D; Li, M |
