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yorsent

sentiment analysis

yoruba_sentiment_analysis

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Kasaba6330 commited on Jan 18

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 Yorùbá Sentiment Checker
 A hybrid (Rule-Based + Machine Learning) sentiment analysis tool for classifying Yorùbá text into Positive, Negative, or Neutral categories. This project addresses the challenge of building NLP tools for low-resource languages by combining the precision of a curated lexicon with the contextual understanding of a statistical model.
-This model was as result of the SEMINAR PAPER PRESENTED IN THE DEPARTMENT OF LINGUISTICS AND AFRICAN LANGUAGES, UNIVERSITY OF IBADAN by Kasaba Abeeb at the University of Ibadan https://doi.org/10.13140/RG.2.2.29750.97601
 **Features**
 Hybrid Architecture: Integrates a comprehensive, hand-curated Yorùbá sentiment lexicon with a Logistic Regression classifier for robust sentiment prediction.

 Yorùbá Sentiment Checker
 A hybrid (Rule-Based + Machine Learning) sentiment analysis tool for classifying Yorùbá text into Positive, Negative, or Neutral categories. This project addresses the challenge of building NLP tools for low-resource languages by combining the precision of a curated lexicon with the contextual understanding of a statistical model.
+This model was as result of the SEMINAR PAPER PRESENTED IN THE DEPARTMENT OF LINGUISTICS AND AFRICAN LANGUAGES, UNIVERSITY OF IBADAN by Kasaba Abeeb https://doi.org/10.13140/RG.2.2.29750.97601
 **Features**
 Hybrid Architecture: Integrates a comprehensive, hand-curated Yorùbá sentiment lexicon with a Logistic Regression classifier for robust sentiment prediction.