Non-Negative Matrix Tri-Factorization for Co-clustering
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Updated
Jul 15, 2024 - Python
Non-Negative Matrix Tri-Factorization for Co-clustering
Naver News Word Cloud 🌟✨ Transforming Naver news articles into captivating word clouds!
💎Visualization of data in python using seaborn and matplotlib
Learn how to collect, clean and categorize data for your projects. Then extract the key textual features and present them visually.
Resume classification is the task that automatically categorizes resumes or CVs into predefined domain categories or classes based on their content. This task is essential for the job recruitment process, particularly when organizations receive a large number of applications for various positions.
基于《明日方舟》的趣味课题 : ) / Interesting trials and trifles on the game Arknights : )
A library to retrieve tweets from the Twitter API and provide various NLP scripting abilities.
The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention.
Natural Language Processing using sentiment analysis to understand factors that influence prices of crypto currencies
Makes a word cloud shaped like a mana symbol for each of the 5 colors in Magic: the Gathering.
A python script to generate word clouds from text file.
A Support Vector Machine (SVM) model to detect whether a Tweet describing news events is fake or real. This is part of a coursework assignment for the Machine Learning Technologies module @ University of Southampton
This repo is about Natural Language Processing (NLP).
EDA and text classification of amazon topical chat dataset
Used the Natural Language Processing to summarize the articles based on sentence ranking. The summary of the articles is an extractive summary.
Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类
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