There are 4 repositories under twitter-streaming-api topic.
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
LINQ Provider for the Twitter API (C# Twitter Library)
A curated list of awesome twitter tools
A simple Python wrapper for Twitter API v2 ✨ 🍰 ✨
Easily work with the Twitter Streaming API
Real-Time Data Processing Pipeline & Visualization with Docker, Spark, Kafka and Cassandra
Geolocating twitter users by the content of their tweets
A Rust library for listening on Twitter Streaming API.
C# wrapper around Twitter API V2
Twitter Streaming API Example with Kafka Streams in Scala
Twitter API 1.1 client for NodeJS
A Go wrapper for Twitter's V2 Filtered Stream API
An Apache Spark standalone application using the Spark API in Scala. The application uses Simple Build Tool(SBT) for building the project.
A simple twitter bot to send your new followers a nice greeting message.
This app allows you to automate Twitter liking for specific keywords, hashtags, or even full sentences. The bot uses streaming API which means that everything happens in real time.
A service for downloading twitter streaming data. You can save the data either in text files on disk, or in a database (MongoDB).
Stream Twitter Data into BigQuery with Cloud Dataprep
a demo project to Analyze most popular twitter hashtags using Java 8 Spring-Boot Spark Streaming Kafka & Docker Demo.
:recycle: measures usage of a particular term on twitter
Twitter's internal API (unofficial). This module has been utilized by multiple Twitter bots. This module offers numerous additional benefits compared to the official Twitter APIs, including the ability to post up to 6000 tweets per day, support for Note tweets, tweet scheduling, Streaming of direct message, new followers, search etc
Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positive or negative meaning.
Live Twitter sentiment analysis using Python, Apache Spark Streaming, Kafka, NLTK, SocketIO
사용 중단된 트위터 스트리밍 API를, 프록시를 통해 사용할 수 있도록 합니다.
Twitter sentiment analysis using Spark and Stanford CoreNLP and visualization using elasticsearch and kibana
A big data project to develop a real-time data pipeline for analyzing the popularity and sentiments of trending topics on Twitter.
A simple twitter dashboard
Using various Python libraries such as Pandas, tweetPy, JSON ans matplotLib to take a sneak peek on your Twitter account using Google Colab.
Code to run LDA algorithm on Twitter/Foursquare scraped data.
Code for anything posted on f1-predictor.com
Emotion Detection & Classification of Tweets Using Streaming APIs. [NLTK] [Scikit Learn] [Twitter Streaming API] [Bing API]