Text Similarity

I have been a teacher of French for a few years now and kind of intuitively know when students are using each other’s homework to submit. Some students are smarter — they do not submit exact replicas of each other’s work, they make a few changes to give some element…

Powerful text-matching with spaCy! Intro Text matching involves finding pieces of text that are similar to a requisite pattern/ piece of text. It is employed heavily in numerous applications such as spam filters, search engines, plagiarism detectors, and information retrieval systems. Conventional methods for text matching involve matching text directly, or…

When working as a Data Scientists we often come across a task where we need to group similar entities together as a single cluster. For example in supply chain Domain often the same products descriptions or the same vendor names may have different variations or in Healthcare domain same patient…

Text Similarity is the process of comparing a piece of text with another and finding the similarity between them. It’s basically about determining the degree of closeness of the text. …

Text similarity plays an important role in Natural Language Processing (NLP) and there are several areas where this has been utilized extensively. Some of the applications include Information retrieval, text categorization, topic detection, machine translation, text summarization, document clustering, plagiarism detection, news recommendation, etc. encompassing almost all domains. But sometimes…

The vector space model is an algebraic model for representing text documents as vectors. The most common use of this model is a similarity calculation model. Vector space model has a wide range of applications in NLP(Natural Language Processing). Vector space model is used in information retrieval, indexing, and information…