VectorSpaceModel

Vector space model is an algebraic model for representing text documents as vectors and Cosine similarity is used to compute the similarity between documents and queries. The Result is filtered with alpha=0.005. It is used in information retrieval, indexing and relevancy rankings.

Files in this project include:

1. ShortStories (50)
2. Stop-words list

Sample Queries:

1. q= "love hate"

   4 documents

   43.txt - 0.03291

   6.txt - 0.01589

   1.txt - 0.00635

   9.txt - 0.00531

2. q= "lodie"

   1 document

   24.txt - 0.12751

3. q= "travel water"

   3 documents

   21.txt - 0.02184

   19.txt - 0.01530

   11.txt - 0.01274

4. q= "king queen"

   8 documents

   31.txt - 0.25304

   7.txt - 0.01565

   34.txt - 0.01546

   43.txt - 0.01163

   49.txt - 0.00764

   40.txt - 0.00744

   25.txt - 0.00667

   40.txt - 0.00614