Investment recommendation has been one of the hottest topics in the finance area which
can help investors to get more profits and to avoid loss. Existing recommendation systems …

A number of numerical practices exist that actuaries use to predict annual medical claim
expense in an insurance company. This amount needs to be included in the yearly financial …

Sentimental Analysis is one of the most popular technique which is widely been used in
every industry. Extraction of sentiments from user's comments is used in detecting the user …

Natural disasters are usually sudden and unpredictable, so it is too difficult to infer them.
Reducing the impact of sudden natural disasters on the economy and society is a very …

Sentiment analysis has become the heart of social media research and many studies have
been applied to obtain users' opinion in fields such as electronic commerce and trade …

The objective of the paper is to identify predictive models in stock market prediction focusing
on a scenario of the emerging markets. An exploratory analysis and conceptual modelling …

This paper employs text-mining techniques to analyse the communication strategy of the
Central Bank of Nigeria (CBN) during the period 2004-2019. Since the policy communique …

Sentiment analysis, commonly called opinion mining or emotion artificial intelligence (AI),
employs biometrics, computational linguistics, natural language processing, and text …

This study has been conducted on forecasting, as accurately as possible, the next day's
stock price using harmony search (HS) and its variants [improved harmony search (IHS) …

This study proposes a framework that combines a supervised machine learning and a
semantic orientation approach to tune Customer Relationship Management (CRM) via …