Han Chen @ University of California, Davis

ECS289A Natural Language Processing Project

  • Real or Not? NLP with Disaster Tweets

    Github Repository

    We focuses on the challenge of determining whether a given tweet indicates an actual disaster or simple exaggerated text. The model we use includes Transformers models(BERT, XLNet) and RNN models(LSTM and Bi-LSTM) together with multiple embedding strategies. We can achieve 84% F1 score in our validation data.

STA250 Probability Graph Model Project

  • United States Election Turnout Rate Analysis

    Github Repository

    US 2020 turnout rate analysis using probability grpha model and recovered the dependency between turnout rate and the economic, political and pandemic factors.

STA220 Data and Web Technologies Project

STA223 Generalized Linear Model Project

  • Analysis of Women's Labor Force Participation Data

    Poster

STA250 Gaussian Random Field Project