There are 2 repositories under tweepy-api topic.
Extraction of tweets and Perform sentiment analysis on the presidential candidature of Donald Trump, Joe Biden and Kanye West in the upcoming elections in US in November, 2020.
Developing a Lambda Architecture pipeline using Apache Kafka, Spark Structured Streaming, Redshift, S3, Python
Twitter Dynamic Dataset Api. Create any dataset YOU want.
Real-time sentiment analysis on tweets using tweepy and kafka. Graphed using the output of a neural network and Dash/Plotly.
Conjunto de utilitários para facilitar a interação do Python com a API do Twitter
Educational bot that posts a tiny flower bed on Twitter every few hours. Check it out if you're new to Python and open source!
Building pipeline to process the real-time data using Spark and Mongodb.
This is a re-tweet bot which retweet with reply for all tweets mentioned with #PyConIndia or #PyConIndia2018 and anyone who mention us @pyconindia .
Tweet After All Commit Messages...have you ever wanted to lose all of your followers by tweeting every single commit message to the world?
Web Mining project in which Descriptive Statistics and NLP techniques are used to analyze the behavior of a Twitter account and the content of their respective tweets.
Automatically updates the twitter banner with the images of 5 latest followers, using tweepy python
A python script which is hosted on cloud to cross post between reddit and twitter using API's with Google sheet integration.
Twitter Bot: Auto Reply, Like and Retweet according to requirement along with deployment on PythonAnyWhere. (Mainly used for automated customer support reply.)
Jupyter Notebook with code to help scrape, analyze, organize, and save tweets in CSV files
Twitter Spark Streaming using PySpark
A Twitter bot that posts a tweet everyday at the same time(8AM EAT) - Built in Python3, tweepy and hosted on PythonAnywhere
The project focuses on minimizing the spread of a rumour in a twitter network by identifying most active or influential users.
In this project we have built a model which takes a dataset as an input andas an output gives the percentage of posive ,negative and neutral tweets in the given dataset. It is done using natural language processing library using scikit learn machine learning libraries such as textblob.
Identify the counts of hashtags and mentioned accounts and display it as graph and wordcloud
A Twitter bot that tweets random Julia sets.
Classifying tweets from cities into Positive and Negative sentiment and determining happiness of that city.
This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event.
Sentiment Analysis and visualisation of tweets, using python, Easticsearch, logstash, kibana and kafka in a Docker container
If you are trying to create a Twitter bot, and your Twitter developer account is different from the account you are trying to run your bot on, this Python code should help you.
Retweets search queries utilizing JSON configurations to allow for more control over content being shared. Supports Twitter API v1.1.
Techniques for analyzing and visualizing data at scale.
Different tweet crawlers using tweepy
A small twitter web app created using flask and tweepy.
Generate and tweet a random quote image based on your mood 😎
Customize Twitter searches and analyze trending tweets with this open-source Python bot. Built with Tweepy, perfect for data mining & social media analysis. Format results into an image & match Twitter's design with included CSS library. #TwitterTrends #Python #Tweepy #DataMining #SocialMediaAnalysis #TwitterAnalytics #ImageFormatting #CSSlibrary"
TraderBot is a Python based algorithmic trade application that runs on Binance cryptocurrency exchange. It can trade both spot and futures markets, sends push notification and tweet when an order is placed.
A domain specific language for Twitter bots.
A bot which generates automated pencil sketch of any image within seconds!
Investigating factors affecting the Mental Health of Twitter Users via Sentiment Analysis