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command-line-search-engine's Introduction

Search Engine from scratch

The project consists of five phases of building a basic search engine from scratch.

Phase 1 : Tokenization

  1. Parsing the HTML document using BeautifulSoap
  2. Cleaning the parsed string using RegEx
  3. Tokenizing the words from the cleaned document using NLTK

Phase 2 : Term Weighting

  1. Creating a global corpus dictionary: HashMap is created to calculate the number of occurrences of a token in all the documents.
  2. Pre-processing each file: Removing the stopwords and words with length 1.
  3. Calculating all the required values:
  • Term frequency = no. of occurrences token/total no. of tokens in the document
  • Document frequency = no. of occurrences of a token in all 500 documents
  • Inverse document frequency = log(no. of documents/ document frequency)
  • Weight of token = term frequency * inverse document frequency

Phase 3 : Indexing

  1. All the steps from phase 2 are repeated.
  2. Writing the Posting file: HashMap is then passed to a function which writes the files with the number of documents in which that token has occurred and its tfidf.
  3. Writing the Dictionary file: HashMap is passed to another function which writes the token, number of occurrences of that token in all documents and sum of the frequency of previous token and its occurrence

Phase 4 : Retrieval

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