https://github.com/kwonnayeon/medium-post-projects

Contains the code and projects from my Medium posts. I share what I've learned through trial and error to help others tackle similar work smoothly.
https://github.com/kwonnayeon/medium-post-projects

data-analysis data-science data-visualization medium-articles python r-language sql

Last synced: 3 days ago
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Contains the code and projects from my Medium posts. I share what I've learned through trial and error to help others tackle similar work smoothly.

• Host: GitHub
• URL: https://github.com/kwonnayeon/medium-post-projects
• Owner: KwonNayeon
• License: mit
• Created: 2024-08-21T13:18:47.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-11-12T04:48:13.000Z (5 days ago)
• Last Synced: 2024-11-12T05:26:29.775Z (5 days ago)
• Topics: data-analysis, data-science, data-visualization, medium-articles, python, r-language, sql
• Language: Jupyter Notebook
• Homepage: https://medium.com/@nayeonkn0330
• Size: 2.05 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Medium Post Projects

This repository hosts code and projects featured in my Medium posts. Each folder contains code, instructions, and resources for a different topic.

## List of Projects

### 1. **Word Cloud Visualization of F1 Trending Tweets**

   - **Post**: [Deep Dive into Word Cloud Creation](https://medium.com/@nayeonkn0330/deep-dive-into-word-cloud-creation-c2fc7fc09c12)

   - **Description**: A Python-based project to generate word clouds from F1 trending tweets (first half of the 2022 season).

   - **Folder**: `f1_wordcloud`

   - **Features**:

     - Word cloud visualization using `wordcloud` and `matplotlib`.

     - Custom colormaps.

     - Stopword filtering.

### 2. **Web Scraping and Text Analysis of Travel Trends on Blogs**

   - **Post**: [Web Scraping and Text Analysis of Travel Trends on Blogs](https://nayeonkwonds.medium.com/web-scraping-and-text-analysis-of-travel-trends-on-blogs-e83a453d34ed)

   - **Description**: This project explores the use of web scraping to extract travel-related blog posts from Naver using its API. The collected data is then analyzed to identify trends in travel discussions, sentiments, and popular keywords. Through this analysis, valuable insights into travel preferences and emerging trends are uncovered.

   - **Folder**: `crawling_pet_project`

   - **Features**:

     - Web crawling using the Naver API

     - Data cleaning and preprocessing with NLTK and Okt for processing Korean text

     - Text analysis, including keyword analysis, sentiment analysis, and topic modeling (LDA)

     - Visualization of results, including word cloud generation using `wordcloud` package