It is this media that provides a huge amount of unstructured data (Big Data) that can be integrated into the decision-making process. Seeking Alpha and StockTwits are two examples of common financial social media platforms focused on the stock market, giving their users a way to connect with information and each other and grow their investments .įinancial social media brings people, companies, and organizations together so that they can generate ideas and share information with others. In the Internet age, independent analysts and retail investors around the world can collaborate with each other through the web. Companies like Goldman Sachs and Lehman Brothers have more than 150 years of investment advice. that use the power of the Internet to help their users make optimal decisions.įurthermore, there are websites that give users the ability to consult with professionals, and one topic that is always popular is investment. There are many websites like Yelp, Wikipedia, Flickr, etc. It opens opportunities for people with various skills and knowledge to share their experiences and wisdom with each other. The rapid development of social networks causes the tremendous growth of users and digital content . The Internet, as a global system of interconnection, provides a link between billions of devices and people around the world. Our results show that Deep Learning model can be used effectively for financial sentiment analysis and a convolutional neural network is the best model to predict sentiment of authors in StockTwits dataset. We applied several neural network models such as long short-term memory, doc2vec, and convolutional neural networks, to stock market opinions posted in StockTwits.
Individual experts can predict the movement of the stock market in financial social networks with the reasonable accuracy, but what is the sentiment of a mass group of these expert authors towards various stocks? In this paper, we seek to determine if Deep Learning models can be adapted to improve the performance of sentiment analysis for StockTwits. However, via the popularity of the Internet and financial social networks such as StockTwits and SeekingAlpha, investors around the world have new opportunity to gather and share their experiences.
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It is very common among investors to have professional financial advisors, but what is the best resource to support the decisions these people make? Investment banks such as Goldman Sachs, Lehman Brothers, and Salomon Brothers dominated the world of financial advice for more than a decade.
They are a popular place to increase wealth and generate income, but the fundamental problem of when to buy or sell shares, or which stocks to buy has not been solved. The modern stock market is an example of these social networks. Deep Learning can be used to extract incredible information that buried in a Big Data. This advantage makes Deep Learning as a valuable tool for Big Data. Big Data is important for organizations that need to collect a huge amount of data like a social network and one of the greatest assets to use Deep Learning is analyzing a massive amount of data (Big Data). Deep Learning models have achieved remarkable results in speech recognition and computer vision in recent years. Deep Learning and Big Data analytics are two focal points of data science.
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