The stock market is a key pivot in every growing and thriving economy, and every investment
in the market is aimed at maximising profit and minimising associated risk. As a result …

Numerous recent studies have attempted to create efficient mechanical trading systems
through the use of machine learning approaches for stock price estimation and portfolio …

The goal of this research is to build a model to predict stock price movement using the
sentiment from social media. Unlike previous approaches where the overall moods or …

Text-mining technologies have substantially affected financial industries. As the data in
every sector of finance have grown immensely, text mining has emerged as an important …

The quality of the interpretation of the sentiment in the online buzz in the social media and
the online news can determine the predictability of financial markets and cause huge gains …

Text mining has found a variety of applications in diverse domains. Of late, prolific work is
reported in using text mining techniques to solve problems in financial domain. The …

The rapid development of big data technologies and the Internet provides a rich mine of
online big data (eg, trend spotting) that can be helpful in predicting oil consumption—an …

Stock exchange forecasting is an important aspect of business investment plans. The
customers prefer to invest in stocks rather than traditional investments due to high …

There are several commercial financial expert systems that can be used for trading on the
stock exchange. However, their predictions are somewhat limited since they primarily rely on …

Natural language processing (NLP) is a part of the artificial intelligence domain focused on
communication between humans and computers. NLP attempts to address the inherent …