Evaluating the Effectiveness of Text Pre-Processing in Sentiment Analysis
| dc.contributor.author | Palomino, Marco A. | |
| dc.contributor.author | Aider, Farida | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.date.accessioned | 2023-11-02T15:09:01Z | |
| dc.date.available | 2023-11-02T15:09:01Z | |
| dc.date.issued | 2022-09-01 | |
| dc.description | This research was funded by the Interreg 2 Seas Mers Zeeën AGE IN project (2S05-014). | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 21 | |
| dc.format.extent | 3181596 | |
| dc.identifier | 282029743 | |
| dc.identifier | 468cd9d8-3fed-45ee-8901-305f6c7e559a | |
| dc.identifier | 85137770842 | |
| dc.identifier.citation | Palomino, M A & Aider, F 2022, 'Evaluating the Effectiveness of Text Pre-Processing in Sentiment Analysis', Applied Sciences, vol. 12, no. 17, 8765. https://doi.org/10.3390/app12178765 | en |
| dc.identifier.doi | 10.3390/app12178765 | |
| dc.identifier.iss | 17 | en |
| dc.identifier.issn | 2076-3417 | |
| dc.identifier.other | ORCID: /0000-0001-7850-416X/work/118246711 | |
| dc.identifier.uri | https://hdl.handle.net/2164/22089 | |
| dc.identifier.vol | 12 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Applied Sciences | en |
| dc.subject | text pre-processing | en |
| dc.subject | sentiment analysis | en |
| dc.subject | text mining | en |
| dc.subject | en | |
| dc.subject | social media | en |
| dc.subject | naïve Bayes classifiers | en |
| dc.subject | lemmatisation | en |
| dc.subject | QA76 Computer software | en |
| dc.subject.lcc | QA76 | en |
| dc.title | Evaluating the Effectiveness of Text Pre-Processing in Sentiment Analysis | en |
| dc.type | Journal article | en |
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