All Projects → ssatia → strtsmrt

ssatia / strtsmrt

Licence: other
Stock price trend prediction with news sentiment analysis using deep learning

Programming Languages

python
139335 projects - #7 most used programming language
C++
36643 projects - #6 most used programming language

Projects that are alternatives of or similar to strtsmrt

Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis
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
Stars: ✭ 101 (+60.32%)
Mutual labels:  sentiment-analysis, linear-regression
Stock Analysis
Regression, Scrapers, and Visualization
Stars: ✭ 255 (+304.76%)
Mutual labels:  sentiment-analysis, linear-regression
interactive-simple-linear-regression
A PureScript, browser-based implementation of simple linear regression.
Stars: ✭ 15 (-76.19%)
Mutual labels:  linear-regression
ML2017FALL
Machine Learning (EE 5184) in NTU
Stars: ✭ 66 (+4.76%)
Mutual labels:  sentiment-analysis
Sentiment-Analysis-Play-Store-Reviews
Sentiment Analyser: Sentiment Analysis of user feedback in Play Store to improve app quality!
Stars: ✭ 22 (-65.08%)
Mutual labels:  sentiment-analysis
FinBERT
A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
Stars: ✭ 193 (+206.35%)
Mutual labels:  sentiment-analysis
DeepSentiPers
Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"
Stars: ✭ 17 (-73.02%)
Mutual labels:  sentiment-analysis
Aspect-Based-Sentiment-Analysis
No description or website provided.
Stars: ✭ 29 (-53.97%)
Mutual labels:  sentiment-analysis
sentR
Simple sentiment analysis framework for R
Stars: ✭ 31 (-50.79%)
Mutual labels:  sentiment-analysis
kesci-urdu-sentiment-analysis
sentiment-analysis
Stars: ✭ 70 (+11.11%)
Mutual labels:  sentiment-analysis
TwEater
A Python Bot for Scraping Conversations from Twitter
Stars: ✭ 16 (-74.6%)
Mutual labels:  sentiment-analysis
Predict-housing-prices-in-Portland
Predict housing prices in Portland, Oregon for selling or buying house
Stars: ✭ 15 (-76.19%)
Mutual labels:  linear-regression
Movie-Recommendation-System-with-Sentiment-Analysis
Content based movie recommendation system with sentiment analysis
Stars: ✭ 44 (-30.16%)
Mutual labels:  sentiment-analysis
NRC-Persian-Lexicon
NRC Word-Emotion Association Lexicon
Stars: ✭ 30 (-52.38%)
Mutual labels:  sentiment-analysis
Stock-Prediction
LSTM RNN for sentiment-based stock prediction
Stars: ✭ 50 (-20.63%)
Mutual labels:  sentiment-analysis
amazon-rekognition-engagement-meter
The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting
Stars: ✭ 49 (-22.22%)
Mutual labels:  sentiment-analysis
stock-news-sentiment-analysis
This program uses Vader SentimentIntensityAnalyzer to calculate the news headline overall sentiment for a stock
Stars: ✭ 21 (-66.67%)
Mutual labels:  sentiment-analysis
billboard
🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.
Stars: ✭ 53 (-15.87%)
Mutual labels:  sentiment-analysis
vista-net
Code for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19
Stars: ✭ 67 (+6.35%)
Mutual labels:  sentiment-analysis
ML-Coursera
This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.
Stars: ✭ 66 (+4.76%)
Mutual labels:  linear-regression

strtsmrt

strtsmrt is a machine learning system that predicts stock prices based on news articles.

##How it works:

  • Gets sentiment analysis data on news associated to stocks in the S&P 500 (using Google's Natural Language Cloud API)
  • Performs gradient descent on a neural network learning model using TensorFlow
  • Uses historical stock data fetched from Yahoo! Finance for training and testing purposes

##Results: Using a day's news sources, strtsmrt predicts the next day's stock price with an average percentage error of 0.5349% using the neural network model with two hidden layers.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].