The code uses the tweepy library to access the Twitter API and the TextBlob library to perform Sentiment Analysis on each Tweet.
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Updated
Mar 27, 2019 - Python
The code uses the tweepy library to access the Twitter API and the TextBlob library to perform Sentiment Analysis on each Tweet.
A bot that tweets open issues labeled with "Hacktoberfest"
This Repository includes files of project predicting Cryptocurrency Ethereum price using Twitter sentiments and Machine Learning
A streaming ETL pipeline for Realtime Tweet Collection, Analysis and Reporting
Twitter Bot that tweets every 15 minutes quotes from lyrics using Twitter and Genius.com API
Retweets search queries utilizing JSON configurations to allow for more control over content being shared. Supports Twitter API v1.1.
A small twitter web app created using flask and tweepy.
This is an intelligent tweet liker built by integrating Django and Docker
Simple projects that I have worked on during time off.
Simplifying Twitter APIs by leveraging tweepy library.
Python Tweepy is a library of functions dedicated to using the tweepy package for Python 3+
Twitter Bot that automatically retweets if it finds a particular set of words.
Python based sentiment and semantic analyzer that analyzes the twitter tweets (using twitter stream/search api) and news articles (using news api) for the terms like Halifax, Canada and visualize the opinions by comparing them with the list of negative and positive words. The project uses the processed words list to make word cloud on Google Tab…
This bot can take the dollar quote of the day and post it to twitter automatically every day. Este bot pode pegar a cotação do dólar do dia e postar no twitter automaticamente todos os dias.
This bot every 2 hours sends a tweet of a random part of a song from the E-Girl Trilogy (I'm in love with an egirl, Your new boyfriend, Interned has ruined me) by Wilbur Soot or a part of a song from Lovejoy!
A Python bot that automates several actions on Twitter like replying to tweets.
This project is designed to classify the sentiments of the real-time Tweets fetched via Twitter API. Implemented in an end-to-end manner deployed using Flask Framework in Heroku Platform(PAAS).
A bot that allows you to fetch data, follower operations, read, write tweets, and allows you to do much-complicated operations than twitter-web
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