Information Retrieval codebase

Contains implementations of models and other IR specific algorithms.

boolean_engine.py: This is a simple search engine (based on the boolean retrieval model) that you can use to search for terms contained in the documents of a specified directory/collection.

Uses:

• Run the search engine in a CLI, where you can try subsequent searches.

$ python boolean_engine.py

• Search in the files of a specified directory using -d <directory>.

$ python boolean_engine.py -d DocumentCollection

• Search the subdirectories of the specified directory as well -rf

$ python boolean_engine.py -d DocumentCollection -rf

You can search using many terms separated by &, | for logical AND, OR respectively and use ! before a term to specify negation of the term. eg: Search: term1 & term2 | !term3. The query is expressed using conjuctive normal form.