Item talk:Q226647

{

 "OpenAlex": {
   "display_name": "Predicting Stock Market Trends and Movements",
   "description": "This cluster of papers focuses on predicting stock market trends and movements using various techniques such as time series forecasting, neural networks, deep learning, support vector machines, sentiment analysis, and Twitter data. The research explores the application of these methods to financial time series data for stock market prediction.",
   "keywords": [
     "Stock Market Prediction",
     "Time Series Forecasting",
     "Neural Networks",
     "Financial Time Series",
     "Deep Learning",
     "Support Vector Machines",
     "LSTM Networks",
     "Forecasting Models",
     "Sentiment Analysis",
     "Twitter Data"
   ],
   "ids": {
     "openalex": "https://openalex.org/T11326",
     "wikipedia": "https://en.wikipedia.org/wiki/Stock_market_prediction"
   },
   "subfield": {
     "id": "https://openalex.org/subfields/1803",
     "display_name": "Management Science and Operations Research"
   },
   "field": {
     "id": "https://openalex.org/fields/18",
     "display_name": "Decision Sciences"
   },
   "domain": {
     "id": "https://openalex.org/domains/2",
     "display_name": "Social Sciences"
   },
   "updated_date": "2024-08-12T06:02:45.577889",
   "created_date": "2024-01-23",
   "type": "topic",
   "oa_id": "T11326",
   "id": "https://openalex.org/T11326"
 }

}