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: Manon Reusens
Michael Reusens
Marc Callens
Seppe vanden Broucke
Bart Baesens
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