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

基于《明日方舟》的趣味课题 : ) / Interesting trials and trifles on the game Arknights : )

Taking Word Clouds Apart: An Empirical Investigation of the Design Space for Keyword Summaries

Making word clouds more interesting

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

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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.

Non-Negative Matrix Tri-Factorization for Co-clustering

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.

Natural Language Processing using sentiment analysis to understand factors that influence prices of crypto currencies

Learn how to collect, clean and categorize data for your projects. Then extract the key textual features and present them visually.

Naver News Word Cloud 🌟✨ Transforming Naver news articles into captivating word clouds!

This repo is about Natural Language Processing (NLP).

A python script to generate word clouds from text file.

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.

A thesaurus word cloud website.

Interesting Word-Clouds based on tweets!

A library to retrieve tweets from the Twitter API and provide various NLP scripting abilities.