🚀 Data Analysis Portfolio: Analysis Sentiment

Welcome to the Data Analysis Portfolio GitHub repository! This repository focuses on sentiment analysis with a specific emphasis on analyzing Indonesian text using lexicon-based techniques. This repository contains various resources, tools, and notebooks for sentiment analysis on social media data, particularly Twitter data.

Topics

• analysis-sentiment
• colab
• crawling-data
• indonesian
• jupyter-notebook
• lexicon-based
• python
• scraping
• scraping-data
• selenium
• textblob
• tweet-harvest
• twitter
• vader-sentiment-analysis

Resources

• Download ZIP file for CLI v1.0.0 (needs to be launched)

Sentiment Analysis Tools

Python Libraries

• TextBlob: A Python library for processing textual data
• VADER Sentiment Analysis: A lexicon and rule-based sentiment analysis tool

Web Scraping Tools

• Selenium: A web browser automation tool that can be used for web scraping
• Twitter API: Allows access to Twitter's data for analysis

Jupyter Notebooks

• Collection of Jupyter notebooks for sentiment analysis projects
• Colab: Google Colab notebooks for easy access and collaboration

How to Use

1. Clone the repository to your local machine.
2. Explore the Jupyter notebooks for different sentiment analysis projects.
3. Install the required Python libraries listed in the notebooks.
4. Use the provided scraping scripts to gather Twitter data for analysis.
5. Experiment with different lexicons and techniques for sentiment analysis.

Note

For the latest updates and releases, please check the Releases section of this repository.

📊 Happy Sentiment Analysis! 📊