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This mini search engine project demonstrates the classic Information Retrieval pipeline: ingesting a text corpus, preprocessing documents, building an inverted index, applying TF-IDF weighting, and retrieving documents based on Cosine Similarity to a user’s query.

chaibi.gitbook.io/mini-search-engine-project

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Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
.github/workflows		.github/workflows
data		data
modules		modules
static		static
templates		templates
Dockerfile		Dockerfile
app.py		app.py
index.txt		index.txt
indexmovies.txt		indexmovies.txt
readme.md		readme.md
requirements.txt		requirements.txt
stopwords.txt		stopwords.txt
vercel.json		vercel.json

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SRI Project

Dataset Link:
Symptom2Disease Dataset

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Lien du rapport https://chaibi.gitbook.io/mini-search-engine-project/tf-idf-weighting-and-similarity/query-weight-calculation

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This mini search engine project demonstrates the classic Information Retrieval pipeline: ingesting a text corpus, preprocessing documents, building an inverted index, applying TF-IDF weighting, and retrieving documents based on Cosine Similarity to a user’s query.

chaibi.gitbook.io/mini-search-engine-project

nlp information-retrieval flask-application tf-idf

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