For last few years, there has been significant research on application of AI/ML algorithms in
stock prediction and stock market. Prediction in stock market is challenging as it is affected …

The aim this paper is to make the trader's life easy with all kinds of exploratory data analysis
and to bring the forecast with the deep learning model. We have used a different kind of …

Research in natural language processing and text mining has been active in this area for the
past few years. Many companies are using a sentimental analysis approach to get feedback …

Of late, text and sentiment analysis have become essential parts of modern marketing.
These play a vital role in the division of natural language processing (NLP). It mainly focuses …

This study presents case studies in finance, mainly stock trading. The paperwork from a
portfolio data mining effort and data obtained directly from the Indonesian Stock Exchange …

There are many attempts to analyze the relationship between functional magnetic
resonance imaging (fMRI) data and text stimuli representation in cognitive neuroscience …

The amount of opinionated data on the internet is rapidly increasing. More and more people
are sharing their ideas and opinions in reviews, discussion forums, microblogs and general …

In the realm of financial decision-making, predicting stock prices is pivotal. Artificial
intelligence techniques such as long short-term memory networks (LSTMs), support-vector …

In this paper we have focused our attention to create a hybrid approach providing optimal
results than other currently working models and approaches. Our approach had r2score of …

Stock investments play a crucial role in deciding the global economic growth of the country.
Investors can optimize profit and avoid risk through accurate stock-value prediction models …