Leverage DDParser for COVID‑19 Vaccine Data Extraction and Open‑Source Tools

This article introduces several pandemic‑related open‑source resources—including a nationwide COVID‑19 vaccine record lookup, a tracker for ineffective vaccine distribution, and Baidu's DDParser NLP tool—detailing their purpose, usage, and installation to help developers build better vaccine‑related applications.

Programmer DD
Programmer DD
Programmer DD
Leverage DDParser for COVID‑19 Vaccine Data Extraction and Open‑Source Tools

The author, known as TJ, shares pandemic‑related information and open‑source projects that can aid developers in handling COVID‑19 data.

National COVID‑19 Vaccine Record Query Tool

The tool lists methods for most provinces to query vaccination records; entries marked with a red star provide detailed data such as vaccination date, manufacturer, and batch number.

Invalid Vaccine Flow Tracker

Many news reports mention ineffective vaccines; this GitHub project aggregates historical data on the final destinations of such vaccines in China, visualizing sources, destinations, and quantities to help users avoid them.

DDParser

DDParser is Baidu's open‑source Chinese dependency‑parsing tool trained on large annotated datasets, supporting various input formats. It can be used to extract relationships and paths between words in vaccine‑related news, improving search and information retrieval.

For example, the sentences 在哪儿打疫苗 and 打疫苗在哪儿 are parsed into dependency trees, providing richer structural features for similarity calculation and other tasks.

DDParser version dependencies:

python: ==2.7, >=3.6.0

paddlepaddle: >=2.0

LAC: >=2.1

Installation methods:

pip install ddparser

Manual: download the package from https://pypi.org/project/ddparser/, extract it, and run python setup.py install The author hopes these resources assist in pandemic control and invites readers to obtain the project links.

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PythonNLPCOVID-19DDParserdependency parsingvaccine data
Programmer DD
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Programmer DD

A tinkering programmer and author of "Spring Cloud Microservices in Action"

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