This project is a movie recommendation system based on IMDB data, developed using Word2Vec and deep learning techniques. The goal is to embed movie features into a vector space and use these ...

Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand words/text as they only deal with numbers. So we need to convert words into ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

In this paper, we introduce the concept of principal communities and propose a principal graph encoder embedding method that concurrently detects these communities and achieves vertex embedding. Given ...

ABSTRACT: Pregnancy presents a unique clinical scenario where the safety of pharmacological interventions is of paramount importance. The potential teratogenic risks associated with drug intake during ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

GenAI isn’t just revolutionizing software—it’s poised to reshape the physical world in ways that solve some of society’s most urgent challenges. One of the most pressing is agriculture. As the global ...

Recently, NPR’s "It’s Been A Minute" host Brittany Luse noticed the resurgence of a word online: the "R-word." It's something she thought had previously been banished from discourse. But with somewhat ...

This important study investigates whether neural prediction of words can be measured through pre-activation of neural network word representations in the brain; solid evidence is provided that neural ...