Disruptive technologies such as the internet of things, big data analytics, blockchain, and
artificial intelligence have changed the ways businesses operate. Of all the disruptive …

As part of a business strategy, effective competitive research helps businesses outperform
their competitors and attract loyal consumers. To perform competitive research, sentiment …

Financial sentiment analysis is a challenging task due to the specialized language and lack
of labeled data in that domain. General-purpose models are not effective enough because of …

During the COVID-19 pandemic, many research studies have been conducted to examine
the impact of the outbreak on the financial sector, especially on cryptocurrencies. Social …

Text mining in big data analytics is emerging as a powerful tool for harnessing the power of
unstructured textual data by analyzing it to extract new knowledge and to identify significant …

This work presents and assesses the power of various volumetric, sentiment, and social
network approaches to predict crucial decisions from online social media platforms. The …

Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …

Recently, ransomware attacks have been among the major threats that target a wide range
of Internet and mobile users throughout the world, especially critical cyber physical systems …

Sentiment analysis concerns the study of opinions expressed in a text. Due to the huge
amount of reviews, sentiment analysis plays a basic role to extract significant information …

This study presents a computationally efficient deep learning model for binary sentiment
classification, which aims to decide the sentiment polarity of people's opinions, attitudes, and …