Search engine

PyStemmer 1.0.1 consists of Snowball stemming algorithms that are used for performing information retrieval tasks and for constructing a search engine. It consists of the Porter stemming algorithm and many other stemming algorithms that are useful for performing stemming and information retrieval tasks in many languages, including many European languages.

We can construct a vector space search engine by converting the texts into vectors.

The following are the steps involved in constructing a vector space search engine:

  1. Consider the following code for the removal of stopwords and tokenization:

    A stemmer is a program that accepts words and converts them into stems. Tokens that have the same stem have nearly the same meanings. Stopwords ...

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