[HTML][HTML] Artificial intelligence in marketing: Systematic review and future research direction
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 …
artificial intelligence have changed the ways businesses operate. Of all the disruptive …
Artificial intelligence and sentiment analysis: A review in competitive research
As part of a business strategy, effective competitive research helps businesses outperform
their competitors and attract loyal consumers. To perform competitive research, sentiment …
their competitors and attract loyal consumers. To perform competitive research, sentiment …
Sentiment analysis for E-commerce product reviews in Chinese based on sentiment lexicon and deep learning
L Yang, Y Li, J Wang, RS Sherratt - IEEE access, 2020 - ieeexplore.ieee.org
In recent years, with the rapid development of Internet technology, online shop** has
become a mainstream way for users to purchase and consume. Sentiment analysis of a …
become a mainstream way for users to purchase and consume. Sentiment analysis of a …
FNDNet–a deep convolutional neural network for fake news detection
With the increasing popularity of social media and web-based forums, the distribution of fake
news has become a major threat to various sectors and agencies. This has abated trust in …
news has become a major threat to various sectors and agencies. This has abated trust in …
Predicting overall customer satisfaction: Big data evidence from hotel online textual reviews
Customer online reviews of hotels have significant business value in the e-commerce and
big data era. Online textual reviews have an open-structured form, and the technical side …
big data era. Online textual reviews have an open-structured form, and the technical side …
Significant applications of machine learning for COVID-19 pandemic
Machine learning is an innovative approach that has extensive applications in prediction.
This technique needs to be applied for the COVID-19 pandemic to identify patients at high …
This technique needs to be applied for the COVID-19 pandemic to identify patients at high …
Sentiment analysis based on improved pre-trained word embeddings
Sentiment analysis is a fast growing area of research in natural language processing (NLP)
and text classifications. This technique has become an essential part of a wide range of …
and text classifications. This technique has become an essential part of a wide range of …
Leveraging artificial intelligence in business: Implications, applications and methods
ABSTRACT The concept of Artificial Intelligence (AI) as a business-disruptive technology
has developed in academic and professional literature in a chaotic and unstructured …
has developed in academic and professional literature in a chaotic and unstructured …
[HTML][HTML] A recent overview of the state-of-the-art elements of text classification
The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …
classification. For this purpose, we first select and investigate the primary and recent studies …
Deep learning-based sentiment classification of evaluative text based on Multi-feature fusion
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 …
amount of reviews, sentiment analysis plays a basic role to extract significant information …