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ZENODO
Model . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Model . 2024
License: CC BY
Data sources: Datacite
ZENODO
Model . 2024
License: CC BY
Data sources: Datacite
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EduSenti Sentiment Models

Authors: Landes, Paul;

EduSenti Sentiment Models

Abstract

Introduction EduSenti (Education Review Sentiment in Albanian) are education review dataset trained sentiment analysis models from the paper "RoBERTa Low Resource Fine Tuning for Sentiment Analysis in Albanian". Models These models were trained on the following checkpoints: XLM RoBERTa Base XLM RoBERTa Large Dataset The models were trained on a corpus (EduSenti) of 1,163 Albanian and 624 English reviews of educational instructor's performance reviews annotated for sentiment, emotion and educational topic.

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Keywords

sentiment, machine learning model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average