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 ...

The popularization of the “Preschool Education Law” is an important part of the current government’s educational governance. This study, using Python technology, selected the 7529 comments from the ...

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 ...

Linear Discriminant Analysis (LDA) effectively separates data points by learning relationships in high dimensional data. LDA is primarily utilised for classification, dimension reduction, and data ...

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 ...

Research on brain metastases kept innovating. We aimed to illustrate what topics the research focused on and how it varied in different periods of all the studies on brain metastases with topic ...

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 ...