| shirosaidev/stocksight |
1,557 |
|
0 |
0 |
over 3 years ago |
0 |
|
8 |
apache-2.0 |
Python |
| Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis |
| kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis |
460 |
|
0 |
0 |
about 2 years ago |
0 |
|
21 |
mit |
Python |
| Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall |
| jeffreybreen/twitter-sentiment-analysis-tutorial-201107 |
373 |
|
0 |
0 |
almost 15 years ago |
0 |
|
3 |
other |
R |
| Code to reproduce the simple sentiment analysis from my presentation |
| xiaohan2012/twitter-sent-dnn |
263 |
|
0 |
0 |
over 6 years ago |
0 |
|
9 |
mit |
Python |
| Deep Neural Network for Sentiment Analysis on Twitter |
| jasti/Stock-Predictor |
250 |
|
0 |
0 |
about 12 years ago |
0 |
|
4 |
|
Python |
| Listens for Stock news on Twitter, performs sentiment analysis by mining information from an online news source, performs supervised predictive modeling and suggests buy or sell decisions of the stock. Computes portfolio returns over time. |
| uclatommy/tweetfeels |
246 |
|
0 |
0 |
over 7 years ago |
10 |
November 11, 2018 |
5 |
bsd-3-clause |
Python |
| Real-time sentiment analysis in Python using twitter's streaming api |
| cardiffnlp/tweeteval |
218 |
|
0 |
0 |
almost 4 years ago |
0 |
|
12 |
|
Jupyter Notebook |
| Repository for TweetEval |
| marcua/tweeql |
194 |
|
2 |
0 |
almost 12 years ago |
12 |
February 26, 2013 |
0 |
|
Python |
| TweeQL is a Query Language for Tweets: SELECT brand(text) AS brand, sentiment(text) AS sentiment FROM twitter_sample; |
| Lissy93/twitter-sentiment-visualisation |
189 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
|
CoffeeScript |
| 🌍 Sentiment analysis over real-time social media data, rendering live charts to visualise trends |
| cbaziotis/datastories-semeval2017-task4 |
171 |
|
0 |
0 |
almost 8 years ago |
0 |
|
8 |
mit |
Python |
| Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis". |
