Towards closing the attitude-intention-behavior gap in green consumption: A narrative review of the literature and an overview of future research directions
Research on sustainable consumption has gained much popularity in the past few years,
and the of the green gap phenomenon has had its share of studies. This phenomenon is …
and the of the green gap phenomenon has had its share of studies. This phenomenon is …
Deep learning in sentiment analysis: Recent architectures
T Abdullah, A Ahmet - ACM Computing Surveys, 2022 - dl.acm.org
Humans are increasingly integrated with devices that enable the collection of vast
unstructured opinionated data. Accurately analysing subjective information from this data is …
unstructured opinionated data. Accurately analysing subjective information from this data is …
Senti‐eSystem: a sentiment‐based eSystem‐using hybridized fuzzy and deep neural network for measuring customer satisfaction
MZ Asghar, F Subhan, H Ahmad… - Software: Practice …, 2021 - Wiley Online Library
In the competing era of online industries, understanding customer feedback and satisfaction
is one of the important concern for any business organization. The well‐known social media …
is one of the important concern for any business organization. The well‐known social media …
Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata
Vector-based cellular automata (VCA) models have been applied in land use change
simulations at fine scales. However, the neighborhood effects of the driving factors are rarely …
simulations at fine scales. However, the neighborhood effects of the driving factors are rarely …
A hybrid deep learning technique for personality trait classification from text
H Ahmad, MU Asghar, MZ Asghar, A Khan… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, Cognitive-based Sentiment Analysis with emphasis on automatic detection of user
behaviour, such as personality traits, based on online social media text has gained a lot of …
behaviour, such as personality traits, based on online social media text has gained a lot of …
A convolution-LSTM-based deep neural network for cross-domain MOOC forum post classification
Learners in a massive open online course often express feelings, exchange ideas and seek
help by posting questions in discussion forums. Due to the very high learner-to-instructor …
help by posting questions in discussion forums. Due to the very high learner-to-instructor …
Validating the impact of accounting disclosures on stock market: A deep neural network approach
Firms disclose information either voluntarily or due to the regulator's mandatory
requirements, and such disclosures form good sources to know the prospects of a firm …
requirements, and such disclosures form good sources to know the prospects of a firm …
Understanding behaviors that lead to purchasing: A case study of pinterest
C Lo, D Frankowski, J Leskovec - Proceedings of the 22nd ACM …, 2016 - dl.acm.org
Online e-commerce applications are becoming a primary vehicle for people to find,
compare, and ultimately purchase products. One of the fundamental questions that arises in …
compare, and ultimately purchase products. One of the fundamental questions that arises in …
Evaluative language beyond bags of words: Linguistic insights and computational applications
F Benamara, M Taboada, Y Mathieu - Computational Linguistics, 2017 - direct.mit.edu
The study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including
sociology, psychology, economics, linguistics, and computer science. A number of excellent …
sociology, psychology, economics, linguistics, and computer science. A number of excellent …
Classification of poetry text into the emotional states using deep learning technique
The classification of emotional states from poetry or formal text has received less attention by
the experts of computational intelligence in recent times as compared to informal textual …
the experts of computational intelligence in recent times as compared to informal textual …