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Web Application for checking the similarity between query and document using the concept of Term frequency, Inverse data frequency and Cosine Similarity .It is implemented using python-flask, html5.

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tharunchitipolu/Plagiarism-detector

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Plagiarism detector

-Web application of Plagiarism Checker using Python-Flask. TF-IDF and cosine similarity is a very common technique.It allows the system to quickly retrieve documents similar to a search query.Similarly, based on the same concept instead of retrieving documents similar to a query, it checks for how similar the query is to the existing database file.

detection

  • User enters a query.
  • Query gets processed (Uppercase to lowercase, Removal of punctuation marks, etc.)
  • term frequency and cosine similarity are calculated.
  • plagiarism percentage will be on screen.

python_flask

-Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries.It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions. However, Flask supports extensions that can add application features as if they were implemented in Flask itself. Extensions exist for object-relational mappers, form validation, upload handling, various open authentication technologies and several common framework related tools. Extensions are updated far more frequently than the core Flask program.Applications that use the Flask framework include Pinterest, LinkedIn, and the community web page for Flask itself

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Web Application for checking the similarity between query and document using the concept of Term frequency, Inverse data frequency and Cosine Similarity .It is implemented using python-flask, html5.

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