| kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis |
460 |
|
0 |
0 |
over 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 |
| nikicc/twitter-emotion-recognition |
116 |
|
0 |
0 |
about 5 years ago |
0 |
|
5 |
agpl-3.0 |
Python |
| Models for predicting emotions from English tweets. |
| declare-lab/CASCADE |
82 |
|
0 |
0 |
almost 3 years ago |
0 |
|
2 |
|
Python |
| This repo contains code to detect sarcasm from text in discussion forum using deep learning |
| FernandoLpz/Text-Classification-LSTMs-PyTorch |
31 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
|
Python |
| The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle. |
| batogov/simple-sentiment-analysis |
21 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Simple text polarity classifier on Python |
| eleurent/make-lstm-great-again |
20 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
Python |
| Donald Trump's tweets generator |
| RaRe-Technologies/benchmark_GPU_platforms |
12 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| Code for the GPU mega-benchmark article |
| ankitesh97/StockPredictionWithSentiment |
12 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
Python |
| This repository delineates the affect of social perception on the stock price of a company |
| Aeryes/Twitter_Sentiment_LSTM |
9 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
gpl-3.0 |
Python |
| This project uses an LSTM network to predict tweet sentiment to a 72% accuracy. |
| kb22/Twitter-Sentiment-Analysis |
8 |
|
0 |
0 |
about 6 years ago |
0 |
|
3 |
|
Jupyter Notebook |
| This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative. |
