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This project is a text sentiment analysis tool. It is implemented using two different approaches: one using the Natural Language Toolkit (NLTK) and the other employing a manual method without ...

Objective: This study aims to present the current state of the art on clinical text summarization using large language models, evaluate the level of evidence in existing research and assess the ...

Welcome to the Build & Challenge Series! In this first project, we’re creating a classic favorite—Hangman, but with a cool twist! Using Python and the customtkinter library, you’ll learn how to build ...

The advent of artificial intelligence has catalyzed numerous sophisticated applications, and Podcastfy AI stands out as an advanced solution within the domain of audio content generation. Developed as ...

Larsen & Toubro has patented a method for text summarization involving clustering paragraph-vectors based on user queries. By analyzing similarity, relevant clusters and excerpts are identified and ...

Abstract: In today's digital world everything is revolving around data. Now every individual require everything to be in a precise manner and wants the work to be done as fast as possible. So, our ...

ABSTRACT: Nowadays, in data science, supervised learning algorithms are frequently used to perform text classification. However, African textual data, in general, have been studied very little using ...