Comparison of Different Modeling Techniques for Flemish Twitter Sentiment Analysis
Microblogging websites such as Twitter have caused sentiment analysis research to increase in popularity over the last several decades. However, most studies focus on the English language, which leaves other languages underrepresented. Therefore, in this paper, we compare several modeling techniques for sentiment analysis using a new dataset containing Flemish tweets. The key contribution of our paper lies in its innovative experimental design: we compared different preprocessing techniques and vector representations to find the best-performing combination for a Flemish dataset. We compared mo... Mehr ...
Verfasser: | |
---|---|
Dokumenttyp: | Text |
Erscheinungsdatum: | 2022 |
Verlag/Hrsg.: |
Multidisciplinary Digital Publishing Institute
|
Schlagwörter: | sentiment analysis / big data / preprocessing / word embeddings / bidirectional LSTM / BERT |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28651662 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.3390/analytics1020009 |