Built something? We create video reels & spotlights for GitHub projects.Promote your project →
Home / Developers / rahularora
Developer Profile

rahularora

Discovered public repositories for rahularora in the GitHub catalog.

↗

rahularora/EmailAuthorPrediction

For the task of prediction of author from emails, we used Unigram language model. We started out on the problem by finding out the features that would help model the solution. The features that looked important were: • N-grams of the email • Frequency of each N-gram • Out of Vocabulary words (Spelling mistakes) The combination of first two features describes how the particular author chooses his dictionary set for writing text. Therefore, this feature can be termed as the signature of the author as all writers tend to choose only words from some defined subset of the Vocabulary. Also, the out of vocabulary words, generally the spelling mistakes done by the author, depict the style of the writing text, and therefore, comes to be an important aspect of the solution. The solution, thus, comes to be finding the total probability of each Ngram to be written by the particular author in the email.

↗

rahularora/MinHash

Estimating how similar are two sets using MinHash (Jaccard similarity coefficient)

FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.