GitHub topics: twitter-apis
xdevplatform/tweet-notifier
A serverless app on AWS that gets Tweets of interest and publishes those to Slack, Amazon Chime & via Twilio SMS
Language: Java - Size: 108 KB - Last synced at: 26 days ago - Pushed at: almost 5 years ago - Stars: 25 - Forks: 11
redouane59/twittered
Twitter API client for Java developers
Language: Java - Size: 9.15 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 238 - Forks: 66
voromade/unofficial-twitter-api
Twitter API
Size: 7.81 KB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
osome-iu/osometweet
OSoMe Twitter tools. Including a package like tweepy but for the v2 Twitter api.
Language: Python - Size: 208 KB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 30 - Forks: 3
someone-stole-my-name/DAMT 📦
Delete tweets older than X days
Language: Go - Size: 16.6 KB - Last synced at: 10 days ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
tbotaq/twr-snippets-rb
Some simple codes that interact with Twitter APIs for my use.
Language: Ruby - Size: 82 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 2
Data-Science-kosta/Twitter-Sentiment-Analysis-RoBERTa
Sentiment Analysis of tweets written in underused Slavic languages (Serbian, Bosnian and Croatian) using pretrained multilingual RoBERTa based model XLM-R on 2 different datasets.
Language: Jupyter Notebook - Size: 4.74 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 15 - Forks: 1
SimoDax/Bird10
Bird10 is a Native app for Twitter
Language: C++ - Size: 7.07 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 18 - Forks: 2
solishiguera/IoTProyect
Tweets my room temperature every 3 minutes. Used realtime database from Firebase, Twitter APIs & an ESP8266
Language: C++ - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
DreamPearl/SentiPeople
Fetching tweets regarding any firm using Twitter APIs, storing them into MongoDB, doing Sentiment Analysis on those tweets, and visualizing the same using multiple graphs.
Language: Jupyter Notebook - Size: 92.8 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
