Search-Engine

A simple search engine which uses the environmental news dataset as its corpus.

The Search engine performs pre-processing of query terms removing stop words, and performing lemmatization to normalize the terms.

The search engine supports the following queries:

1. bag of words unions and intersection
2. positional queries
3. wildcard queries
4. combination of these queries

The search engine ranks the documents using a vector-space model.

Setup and Execution

• The dataset can be found here, but has already been added to the project for convinence.
• Run pip install -r requirements.txt
• Run python3 driver.py to start the search engine.