Data Mining from Twitter

Instructions

To follow along and have a better understanding of what this project repository is about please visit this medium article I wrote

You will need to create a twitter developer account here

Use tweepy - This is a Python library for accessing twitter's API. Documentation can be found here: https://www.tweepy.org

Each file is a Bot that pulls data using REST or Streaming APIs and performs some preprocessing steps on the data.

Here is the demo of the dynamic map visualization

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
Twitter_Profiles		Twitter_Profiles
__pycache__		__pycache__
data		data
.gitignore		.gitignore
README.md		README.md
twitter_cluster_users.py		twitter_cluster_users.py
twitter_conversations.py		twitter_conversations.py
twitter_followers_stats_set.py		twitter_followers_stats_set.py
twitter_geojson.py		twitter_geojson.py
twitter_get_ff_csv.py		twitter_get_ff_csv.py
twitter_get_user.py		twitter_get_user.py
twitter_hashtag_frequency.py		twitter_hashtag_frequency.py
twitter_hashtag_stats.py		twitter_hashtag_stats.py
twitter_influence.py		twitter_influence.py
twitter_map_clustered.py		twitter_map_clustered.py
twitter_map_sample.py		twitter_map_sample.py
twitter_mention_frequency.py		twitter_mention_frequency.py
twitter_streaming.py		twitter_streaming.py
twitter_term_frequency.py		twitter_term_frequency.py
twitter_time_series.py		twitter_time_series.py
twitterclient.py		twitterclient.py