Sentiment Analysis on Real-Time Data 📊💬

This project performs sentiment analysis on real-time data from Twitter using R. It extracts tweets, processes the text, and determines whether the sentiment is positive, negative, or neutral. 🔍😊😡

Technology Used 💻🔧

• Programming Language: R 🦸‍♂️
• IDE: RStudio 💼
• Libraries: twitteR, tidyverse, tm, syuzhet, sentimentr, ggplot2 📚
• Tools: Twitter API 🐦 for data extraction, Natural Language Processing (NLP) 🧠 for text analysis

Installation 🛠️

1. Install R from CRAN 🌍
2. Install RStudio from RStudio 💻
3. Install required libraries using the following command in R:

install.packages(c("twitteR", "tidyverse", "tm", "syuzhet", "sentimentr", "ggplot2"))



sentiment-analysis-real-time/
│
├── scripts/
│   └── sentiment_analysis.R    # Main R script 📝
│
├── README.md                   # This file 📄