Implementing probabilistic retrieval model


• Implementing probabilistic retrieval model.


Download the folder HW04 from Blackboard. The folder contains the following:

1. documents: contains the text files.

2. file label: contains file relevance labeling, it has the following format: [file name, rel] where

rel ∈ {0, 1}

3. query: a file contains the query.

Write a python code that implements the binary independence model(slides 28,29,30). Your code should

display the top 10 documents with high RSV. Your output should look like.

RSV{ fil e n am e 1 } = 22.9 f i l e l a b e l

RSV{ fil e n am e 2 } = 14 f i l e l a b e l

RSV{ fil e n am e 3 } = 12 f i l e l a b e l

RSV{ fil e n am e 4 } = 10.9 f i l e l a b e l

RSV{ fil e n am e 5 } = 9 f i l e l a b e l

RSV{ fil e n am e 6 } = 4 f i l e l a b e l

Submit it by "December 2nd Afternoon"

Compétences : Python

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Concernant l'employeur :
( 0 commentaires ) Hyderabad, India

Nº du projet : #32242012

2 freelances font une offre moyenne de 1050 ₹ pour ce travail


I already built such software I am using it on Cloud for the peoples who want it I can provide it as AMI Thank you

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Hello, I am very interested in your project, I am a python developer and passionate about data. I have done many jobs of this kind, I have already worked on a project of parsing text and xml files and extracting the in Plus

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