| AlchemyAPI/alchemyapi-recipes-twitter |
61 |
|
0 |
0 |
about 10 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| A simple example application that will connect to the Twitter API, run a search, gather tweets, and then calculate the sentiment of each Tweet using AlchemyAPI's text analysis functions for sentiment analysis. |
| OrgCurrent/webApp |
41 |
|
0 |
0 |
almost 9 years ago |
0 |
|
15 |
|
JavaScript |
| The Web App |
| jmcilhargey/chart-stock-market |
22 |
|
0 |
0 |
over 9 years ago |
0 |
|
2 |
|
JavaScript |
| A company tracking app that requests real time stock data via websocket connections and draws interactive graphs with d3.js and HTML5 canvas. Uses Twitter streaming data and algorithmic analysis to explore relationship between company performance and Twitter sentiment. HTML/CSS, Javascript, React, Node, Express, MongoDB, d3.js |
| sherlockjjj/T-Watch |
15 |
|
0 |
0 |
over 8 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Real Time Twitter Sentiment Analysis Product |
| vishwajeetv/twitter-sentiment-analysis |
14 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
JavaScript |
| A novice's implementation of twitter sentiment analysis with NodeJS (REST API with Sails.js) , MongoDB + Mongoose, Twitter API and sentiment (AFINN based) |
| rozester/Twitter-Sentiment-Analyzer |
13 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
HTML |
| Twitter Sentiment Analyzer |
| eeshsingh123/Covid19_Analysis |
10 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| A dashboard for Real-time analysis of Covid-19 in India and a resource tracker eg. Oxygen, Ventilators, Remdesivir along with Live Vaccine Availablity Tracker. |
| aqfaridi/Sentiment-Analysis-Twitter-Streamer |
7 |
|
0 |
0 |
about 10 years ago |
0 |
|
0 |
mit |
JavaScript |
| Sentiment Anaylysis of Movie Reviews using Naive Bayesian & AFINN Classifier and streaming Tweets using Nodejs,Express,socket.io in backend,MongoDb as Database,AngularJs in frontend without using third-party module for authorization. |
| cshaowang/NetAb |
5 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
|
Python |
| Learning with Noisy Labels for Sentence-level Sentiment Classification |
