Text Mining and Classifications in Yunduoduo

Date:

A natural language processing project applying BERT for sentiment analysis on social media posts.

Key Contributions

  • Collected data from “Yunduoduo”, a social platform for college students
  • Fine-tuned the BERT model to predict post sentiment
  • Compared various machine learning algorithms (Random Forest, Logistic Regression, Linear SVM) for accuracy and efficiency
  • Proposed an automatic classification application prototype

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