bilibili弹幕分析，包含爬虫、词云分析、词频分析、情感分析、构建衍生指标，可视化

Free hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and techniques, on several modern platforms and libraries.

应用Python爬虫、Flask框架、Echarts、WordCloud等技术将豆瓣租房信息爬取出来保存于Excel和数据库中，进行数据可视化操作、制作网页展示。

🚀百度贴吧Scrapy爬虫，附简单可视化分析

Detecting whether a particular tweet contains negative emotions attached with it or not from the given dataset

Beginner's Introduction to Text Mining: An App Store Reviews Exercise

A simple twitter dashboard

R Gallery Book

#100DaysOfCode Challenge | 100daysofcode.com | Collection of projects completed during #100DaysOfCode Challenge | Track my progress in log-v2.md

EDA, data processing, cleaning and extensive geospatial analysis on a selenium based web scraped dataset

R Coding Lessons provided for a school 🏫

In statistics, exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task

This repository is for Fake News Detection using Deep Learning models

A project utilizing NLP techniques and analysis including text mining, document term matrices, sentiment analysis, wordclouds and topic modeling with LDA.

Análisis de sentimientos de los tweets de Donald Trump

Text mining, creating word cloud, correlations plots from Twitter analysis and PDF e-books

This is a love report.

A Case Study On The Rising Omicron Cases and Public Sentiment Analysis using Twitter Data