We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

Abstract: In order to perform sentiment analysis on Weibo platform posts, a sentiment analysis model combining the LDA model and the machine learning model Snownlp is used to analyze posts data.

Abstract: In the present digital era, being skilled and updated on modern software development practices has become of crucial importance for software engineering graduates. Moreover, the freelancing ...

Python3.6+ gcc / g++ (>= 5.1 for c++14) cuda >= 7.0 Tested on Ubuntu 18.04 / GCC 7.5 / CUDA 11.1 / Python 3.6 I trained W2V model on quora-duplicate-questions dataset from gensim downloader api on GPU ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

In this study, we explored innovative approaches to sustainable fashion design, focusing on the increasingly prominent issue of sustainability in the global fashion industry. By analyzing consumer ...

The objective of this study was to investigate the effectiveness of a machine learning algorithm in diagnosing OSA in children based on clinical features that can be obtained in nonnocturnal and ...

The LDA topic model, sentiment analyzer, and misinformation classification model are independently trained using a small, expert-validated subset of the extracted data. These models are then ...

Python is widely considered the best programming language, and it is critical for artificial intelligence (AI) and machine learning tasks. Python is an extremely efficient programming language when ...

In this study, we observed the changes in dietary patterns among Korean adults in the previous decade. We evaluated dietary intake using 24-h recall data from the fourth (2007–2009) and seventh ...

kwx is a toolkit for multilingual keyword extraction based on Google's BERT, Latent Dirichlet Allocation and Term Frequency Inverse Document Frequency. The package provides a suite of methods to ...