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

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 …

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 …

Emotion detection and Sentiment analysis techniques are used to understand polarity or
emotions expressed by people in many cases, especially during interactive systems use …

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 …

The advancement of Deep Learning and Computer Vision in the field of agriculture has
been found to be an effective tool in detecting harmful plant diseases. Classification and …

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 …

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 …

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 …

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 …