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https://github.com/yassinedoghri/atlantiscz4034
A project that aims to detect sarcasm in Govt. planning and decision tweets (Trump's immigration order).
https://github.com/yassinedoghri/atlantiscz4034
crawling information-retrieval python twitter
Last synced: 9 days ago
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A project that aims to detect sarcasm in Govt. planning and decision tweets (Trump's immigration order).
- Host: GitHub
- URL: https://github.com/yassinedoghri/atlantiscz4034
- Owner: yassinedoghri
- License: bsd-3-clause
- Created: 2017-03-31T06:52:01.000Z (over 7 years ago)
- Default Branch: development
- Last Pushed: 2023-02-02T02:57:46.000Z (almost 2 years ago)
- Last Synced: 2024-10-15T01:07:46.135Z (24 days ago)
- Topics: crawling, information-retrieval, python, twitter
- Homepage:
- Size: 2.16 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Donald Tweets v0.1.0
A project that aims to detect sarcasm in Govt. planning and decision (Trump's immigration order) tweets.
## Table of contents
* [Getting Started](#getting-started)
* [Structure](#structure)
* [User interface](#user-interface)
* [Versioning](#versioning)
* [Contributors](#contributors)
* [Copyright and licence](#copyright-and-licence)
## Getting Started
1. [Install Bower](http://bower.io/#install-bower)
2. Open command line
3. Go to project root folder
4. Run the following command to install project dependencies:
```sh
$ bower install
```
4. [Setup virtualenv](http://python-guide-pt-br.readthedocs.io/en/latest/dev/virtualenvs/)
5. Run the following command to install project python libraries:
```sh
$ pip install -r requirements/requirements.txt
```
6. [Install](https://docs.mongodb.com/manual/installation/) & [Run](https://docs.mongodb.com/manual/tutorial/manage-mongodb-processes/) MongoDB
7. [Install](https://www.elastic.co/guide/en/elasticsearch/reference/1.7/_installation.html) & [Run](https://www.elastic.co/guide/en/elasticsearch/guide/1.x/running-elasticsearch.html) Elasticsearch
8. Set access keys for the Twitter API in `app/mining.py`
```python
TWEEPY_CONSUMER_KEY = 'your_consumer_key'
TWEEPY_CONSUMER_SECRET = 'your_consumer_secret'
TWEEPY_ACCESS_TOKEN_KEY = 'your_access_token'
TWEEPY_ACCESS_TOKEN_SECRET = 'your_access_token_secret'
```
9. Run the following scripts in order:
```sh
# Activate the virtual environment
$ source venv/bin/activate
# run the scripts one by one
$ python app/mining.py
$ python app/parsing.py
$ python app/indexing.py
```
10. Run the Flask App:
```sh
# Make sure the virtualenv is activated
$ python autoapp.py
```
## Structure
The structure of Donald Tweets has been generated using [cookiecutter-flask](https://github.com/sloria/cookiecutter-flask), a template for [cookiecutter](https://github.com/audreyr/cookiecutter).
## User interface
The UI of Atlantis CMS is built using [Materializecss](http://materializecss.com/).
## Versioning
Donald Tweets is maintained under the [Semantic Versioning guidelines](http://semver.org/).
## Contributors
This project is a school project for the CZ4034 module at the Nanyang Technological University (NTU) of Singapore.
### Student
- [Yassine Doghri](https://github.com/yassinedoghri)
## Copyright and licence
// TO DO - Project licence.