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 …

Sentic computing is a multi-disciplinary approach to sentiment analysis at the crossroads
between affective computing and commonsense computing, which exploits both computer …

Machine learning and artificial intelligence techniques are being used in conjunction with
data mining to solve a plethora of real world problems. These techniques have proven to be …

Artificial intelligence and Machine learning methods in combination with data mining are
used in multiple scenarios to solve many problems. These Machine learning methods and …

Stock Market (SM) is believed to be a significant sector of a free market economy as it plays
a crucial role in the growth of commerce and industry of a country. The increasing …

Together with data mining, artificial intelligence and machine learning techniques have
been used to rectify a multitude of real-world problems. Such methods have found to be …

Price prediction tools play a significant role in small investors' behavior. As such, this study
aims to propose a method to more effectively predict stock prices in North America. Chiefly …

This paper examines the impact of the sentiments of OPEC news on stock market prices of
public listed oil and gas companies in Bursa Malaysia. We used data of stock market prices …

Text mining is the process of extracting and/or deriving high-quality information from
unstructured text by properly structuring the raw text. The structured texts serve as ideal …

Stock Market (SM) is a significant sector of countries' economy and represents a crucial role
in the growth of their commerce and industry. Hence, discovering efficient ways to analyse …