Xin Li

ORCID: 0009-0007-5466-9219
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About
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Research Areas
  • Topic Modeling
  • Data-Driven Disease Surveillance
  • Anomaly Detection Techniques and Applications
  • Sentiment Analysis and Opinion Mining
  • Text and Document Classification Technologies
  • COVID-19 epidemiological studies

Chengdu Jincheng College
2023

Chengdu Medical College
2023

In order to make a more accurate prediction of the COVID-19 transmission index, Adjusted-SEIR model is proposed, which takes into account classification susceptible persons, exposed infected persons and recovered taking influencing factors such as infection rate, contact rate recovery rate. At same time, this paper introduces LSTM (Long Short Term Memory networks) model, deep learning method that can capture dependency time series, analyzes predicts epidemic by combining relevant data...

10.1109/prai59366.2023.10331933 article EN 2023-08-18

With the development of Internet and big data technology, unstructured natural language processing (NLP) has become current research hotspot. At same time, semi-supervised model construction is also a widespread concern in field machine learning deep learning. Based on WeChat official account news text data, this paper studies similarity classification with specific tendencies (such as tourism) set without categories. A recognition based Adjust-Jaccard Latent Dirichlet Allocation(LDA)...

10.1145/3594315.3594355 article EN 2023-03-17
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