The COVID-19 Question Answering System is a Python program designed to provide answers to user queries related to the COVID-19 pandemic. It utilizes natural language processing (NLP) techniques and information retrieval methods to extract relevant information from a provided text source and respond to a range of questions.
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Question Types: The system can handle various question types, including "WHO," "WHERE," "HOW MANY," and more, to extract specific information.
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Text Preprocessing: The program preprocesses the input text data, including stemming and removing stopwords for better analysis.
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TF-IDF Vectorization: It computes the TF-IDF matrix to represent the importance of terms in the text and uses it to find relevant sentences.
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Cosine Similarity: The program calculates cosine similarity between user questions and sentences in the text to identify the most relevant answers.
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Answer Extraction: It extracts answers based on the context and type of question, delivering accurate responses.
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Clone the repository to your local machine.
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Ensure you have the required Python libraries installed (see
requirements.txt). -
Provide your text source (e.g., COVID-19 Wikipedia data) by replacing
wikipedia.txtwith your source file. -
Run the program by executing the Python script:
python covid19_qa.py. -
Input your questions when prompted, and the system will provide answers based on the provided text source.
- "How many cases have been reported and how many deaths have occurred in various countries?"
- "What are the common symptoms and how long should I wash my hands?"
- "When was the first case discovered and where was the virus first identified?"
This program is licensed under the MIT License.
The COVID-19 Question Answering System was developed as part of a project to provide accessible and accurate information about the COVID-19 pandemic. Special thanks to the open-source NLP and information retrieval libraries that made this project possible.
You can adapt and expand this README file to include more details, installation instructions, and usage guidelines based on your project's needs.