Here I am utilising Twitter API.

This project uses Twitter API v2 with Tweepy to request tweet data based on a keyword, the data is then put through an ETL process, and into Pandas data frame, and then run through a pre-trained sentiment analysis model. The sentiment result is then added to the tweets and the resulting table is used for analysis.

Consulta a la api de Twitter para implementar pruebas unitarias, materia Ingenieria del Software

This is End-To-End Data Engineering Project using Airflow and Python. In this project, we will extract data using Twitter API, use python to transform data, deploy the code on Airflow/EC2 and save the final result on Amazon S3

A Twitter bot for Air Quality of Kathmandu Valley.

A tkinter python app to find art from mutual/artists you follow

This the REST API used in TwitterTweetCLone to fetch the tweets .

PHP class for using the new twitter API (V2) in an extremely easy and fast way

A simple Deep learning experiment in tweet data via Word2Vec library ...

The dataset which will be wrangling (and analyzing and visualizing) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog. I will use Python (and its libraries) to analyze and visualize the dataset through Jupiter notebook.

A collection of Tweepy Scripts for basic on the go tasks

X/Twitter follow bot allows accounts to follow each other among themselves

TwitterAPIを用いて，データセットからツイートを取得，抽出

Twitter API playground

Twitterの怪しいアカウントをブロックするサービス

pyspark streaming example with flask dashboard

Free Twitter Trending API Google Trends API Youtube Trends API X API

This library is based on the library of abraham/TwitterOauth. I have extend this to support Twitter API version 2 and Twitter Ads API.

This project utilizes Twitter API and Kafka to monitor keywords from Twitter and make a sentiment analysis. Developed using Django, ReactJS, MongoDB, Docker, Kafka and Zookeeper.