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https://github.com/gallettilance/tweet-monitor
Analysis of real time collected tweets 📈
https://github.com/gallettilance/tweet-monitor
analysis docker exploratory-data-analysis machine-learning mongodb neural-network python singular-value-decomposition statistics svm tweepy tweet-monitor tweets twitter-api
Last synced: about 2 months ago
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Analysis of real time collected tweets 📈
- Host: GitHub
- URL: https://github.com/gallettilance/tweet-monitor
- Owner: gallettilance
- Created: 2017-12-01T20:36:49.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2022-12-07T23:42:29.000Z (about 2 years ago)
- Last Synced: 2023-03-05T20:15:24.358Z (almost 2 years ago)
- Topics: analysis, docker, exploratory-data-analysis, machine-learning, mongodb, neural-network, python, singular-value-decomposition, statistics, svm, tweepy, tweet-monitor, tweets, twitter-api
- Language: Jupyter Notebook
- Homepage: http://gallettilance.org/Tweet-Analysis/Collection-And-Analysis-Of-Tweets.html
- Size: 1.13 MB
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 10
-
Metadata Files:
- Readme: README.md
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README
# Tweet Monitor
## Follow along with jupyter
[Here](Notebook/Collection-And-Analysis-Of-Tweets.ipynb) you will find a walk through of the analysis.
## Prerequisites
#### Without Docker
* download mongodb
* run:
sudo service mongod start
* install the pip requirements
pip install -r requirements.txt
* Create a file keys.txt with your twitter keys
* Navigate to PyFiles and run:
python3 pymongo_tweepy.py
#### With Docker
* install docker
* create a file keys.txt with your twitter keys
* delete the .dockerignore file so that your keys.txt are copied into the container
* run:
docker build -t tweet-mongo:latest .
* Once this completes, run
docker run -itd --name=tweet-mongoc tweet-mongo
* Check that the container is running, using:
docker container ls
* Run:
docker exec -it tweet-mongoc /bin/bash
* within the container, navigate to PyFiles and you can now run
python3 pymongo_tweepy.py