Semantic Web

Boolean Model of Information Retrieval

Design and implement Boolean Information Retrieval Model on corpus text documents for boolean and positional search queries using python

Vector Space Information Retrieval Model

Implement a query search system based on Vector Space Model, using TF-IDF weighting and Cosine Similarity concepts for ranking the related documents