https://github.com/ezzaldeeen/sentweets

A simple tool for streaming and analyzing Twitter data in real-time.
https://github.com/ezzaldeeen/sentweets

sentiment-analysis tensorflow tweets

Last synced: about 2 months ago
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A simple tool for streaming and analyzing Twitter data in real-time.

• Host: GitHub
• URL: https://github.com/ezzaldeeen/sentweets
• Owner: ezzaldeeen
• Created: 2023-04-29T07:40:09.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-06-16T12:05:35.000Z (about 3 years ago)
• Last Synced: 2025-02-27T23:40:48.512Z (over 1 year ago)
• Topics: sentiment-analysis, tensorflow, tweets
• Language: Jupyter Notebook
• Homepage:
• Size: 1.82 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# RT-Twitt-Streaming

RT-Twitt-Streaming is a simple tool for streaming and analyzing Twitter data in real-time.

It allows you to track mentions of specific keywords, hashtags, or users, and perform sentiment analysis on the collected tweets.

## Features

- Stream live tweets based on specific keywords, hashtags, or users

- Analyze the sentiment of tweets using a pre-trained machine learning model

- Store collected tweets in a local database for further analysis

- Display real-time statistics of collected tweets, such as the number of tweets per minute, the most commonly used hashtags, and the overall sentiment of the collected tweets

- Export collected tweets to a CSV file for easy sharing and analysis

## Installation

To install rt-twitt-streaming, clone the repository to your local machine and install the required dependencies using:

```shell

pip install -r requirements.txt

```