This tutorial covers a quick walkthrough to Tweepy: which is an easy-to-use Python library for accessing the Twitter API. This is part#2 to our three part Natural Language Processing Project series, where we are going to perform Sentiment Analysis on live tweets duly pulled from twitter. In the first part, I explained how you can set up your very own Twitter API, which enables you to pull 2 million tweets per month.
🔥 Links to the entire series:
#1 - How to set up your own Twitter API, that enables you to pull 2 million tweets per month: • Twitter API with Python 2022 - using ...
#2 - A quick walkthrough to Tweepy, which is an easy-to-use Python library for accessing Twitter API: • Tweepy Walkthrough | Twitter API v1.1...
#3: Sentiment Analysis of Live Tweets: • Twitter Sentiment Analysis Machine Le...
We shall also discuss: Twitter's two APIs v1.1 & v2.0. And authentication protocols: OAuth 1.0a User Context & OAuth 2.0 Bearer Token (application-only).
Happy learning :)
🔥 Sections
00:00 Introduction
00:46 Twitter APIs & OAuth Brief
03:01 Tweepy Documentation
04:12 Tweepy Walkthrough
09:30 Tutorial#3 - Intro
🔥 Resources:
Project files: https://drive.google.com/drive/folder...
Tweepy Documentation: https://docs.tweepy.org/en/stable/ind...
Twitter API 2.0 Documentation: / twitter-api
Twitter OAuth Comparison: / v2-authentication-mapping
Our other popular ML Projects:
1. Sentiment Analysis Project using LSTM: • Sentiment Analysis with LSTM | Deep L...
2. Sentiment Analysis Project (End-to-end) with ML Model Building + Deployment (using Flask):
---- a. Model Building: • Sentiment Analysis Machine Learning P... (Part-1)
---- b. Model Deployment: • PIP + Virtual Environment | Flask Dep... (Part-2)
3. Sentiment Analysis Project using Traditional ML: • Sentiment Analysis Project using Mach...
4. Analytics-enabled Marketing: • Marketing Analytics Project using Mac...
5. Credit Scoring Project: • Credit Scoring Project using Machine ...
6. Face Recognition Project: • Face Detection Machine Learning Proje...
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