https://github.com/engali94/twitter-account-analyzer
Using various Python libraries such as Pandas, tweetPy, JSON ans matplotLib to take a sneak peek on your Twitter account using Google Colab.
https://github.com/engali94/twitter-account-analyzer
data-analysis data-visualization python3 twitter-api twitter-sentiment-analysis twitter-streaming-api
Last synced: 4 days ago
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Using various Python libraries such as Pandas, tweetPy, JSON ans matplotLib to take a sneak peek on your Twitter account using Google Colab.
- Host: GitHub
- URL: https://github.com/engali94/twitter-account-analyzer
- Owner: engali94
- License: mit
- Created: 2020-01-07T09:08:54.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-08-25T22:04:44.000Z (over 4 years ago)
- Last Synced: 2025-04-05T14:03:30.259Z (28 days ago)
- Topics: data-analysis, data-visualization, python3, twitter-api, twitter-sentiment-analysis, twitter-streaming-api
- Language: Python
- Homepage: https://www.alihilal.com/projects
- Size: 40 KB
- Stars: 12
- Watchers: 1
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Twitter Account Data Analysis
Using various Python libraries such as Pandas, tweetPy, JSON and matplotLib to take a sneak peek on your Twitter account using Google Colab.
# Setup
#### Open Google Colab and import the required Libs
``` python
from google.colab import drive # to mount Google Drive to Colab notebook
import tweepy # Python wrapper around Twitter API
import json
import pandas as pd
import csv
from datetime import date
from datetime import datetime
import time
import matplotlib.pyplot as plt
```
#### Mounting Google Drive
create a new folder name it `dataset` then another inside it with `twitter_analysis` **Yo can change the directory as you like**
``` python
drive.mount('/content/gdrive')
path = './gdrive/My Drive/datasets/twitter_analysis/'
#Follow the popup link and complete the autuorization process
```
# Twitter Data Collection
#### Login
In this section you need to get your Twitter API credentials then load Twitter API secrets from an external file
``` python
secrets = json.loads(open(path + 'secrets.json').read())
consumer_key = secrets['consumer_key']
consumer_secret = secrets['consumer_secret']
access_token = secrets['access_token']
access_token_secret = secrets['access_token_secret']
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
```
#### Helper Functions
- `save_json(file_name, file_content)`: Helper function to save data into a JSON file.
- `file_name`: the name of the data file you want to save on your Google Drive
- `file_content`: the data you want to save.
- `limit_handled(cursor, list_name)` Helper function to handle twitter API rate limit.
#### Data Collection Functions
- `get_all_tweets(screen_name)` : Helper function to get all tweets for a specified user and write it to a csv file.
- `todays_stats(dict_name)` : Helper function to get today's numbers of followers and friends and store them into a JSON file.
- `get_followers()`: Helper function to load follower objects into a list and save them into a JSON file.
- `get_friends()`: Load friends into list
# Analyzing tweets
- Load saved data from Google Drive
- Classify tweets
# Other Features
- Analyzing followers
- Analyzing following
- Analyzing History
## About The Author
- [blog](https://www.alihilal.com/blog)
- [Twitter](https://twitter.com/alihilal94)