[HTML][HTML] A survey on sentiment analysis in Urdu: A resource-poor language

A Khattak, MZ Asghar, A Saeed, IA Hameed… - Egyptian Informatics …, 2021 - Elsevier
Background/introduction The dawn of the internet opened the doors to the easy and
widespread sharing of information on subject matters such as products, services, events and …

The impact of preprocessing steps on the accuracy of machine learning algorithms in sentiment analysis

S Alam, N Yao - Computational and Mathematical Organization Theory, 2019 - Springer
Big data and its related technologies have become active areas of research recently. There
is a huge amount of data generated every minute and second that includes unstructured …

Dynamical mining of ever-changing user requirements: A product design and improvement perspective

H Sun, W Guo, H Shao, B Rong - Advanced Engineering Informatics, 2020 - Elsevier
Previous studies carried out customer surveys by questionnaires to collect data for analyzing
consumer requirements. In recent years, a large and growing body of literature has …

Creating sentiment lexicon for sentiment analysis in Urdu: The case of a resource‐poor language

MZ Asghar, A Sattar, A Khan, A Ali… - Expert …, 2019 - Wiley Online Library
The sentiment analysis (SA) applications are becoming popular among the individuals and
organizations for gathering and analysing user's sentiments about products, services …

Twitter sentiment analysis: a case study for apparel brands

A Rasool, R Tao, K Marjan… - Journal of Physics …, 2019 - iopscience.iop.org
Social media especially Twitter is providing a space for expression and opinions, where
users discuss various events, services, and brands. Entrepreneurs are in continuous need of …

A framework for pre-processing of social media feeds based on integrated local knowledge base

T Kolajo, O Daramola, A Adebiyi, A Seth - Information processing & …, 2020 - Elsevier
Most of the previous studies on the semantic analysis of social media feeds have not
considered the issue of ambiguity that is associated with slangs, abbreviations, and …

Deep learning-based sentiment analysis on covid-19 news videos

M Varghese, VS Anoop - Proceedings of International Conference on …, 2022 - Springer
Abstract Coronavirus disease (COVID-19) has adversely affected all walks of human life.
The whole world is confronting this deadly virus, and no country in this world remains …

[Retracted] MKA: A Scalable Medical Knowledge‐Assisted Mechanism for Generative Models on Medical Conversation Tasks

K Liang, S Wu, J Gu - Computational and mathematical …, 2021 - Wiley Online Library
Using natural language processing (NLP) technologies to develop medical chatbots makes
the diagnosis of the patient more convenient and efficient, which is a typical application in …

X-News dataset for online news categorization

SN Yousafzai, H Shahbaz, A Ali, A Qamar… - International Journal of …, 2024 - emerald.com
Purpose The objective is to develop a more effective model that simplifies and accelerates
the news classification process using advanced text mining and deep learning (DL) …

Elaboration of social media performance measures: from the perspective of social media discontinuance behavior

I Kang, Y Zhang, S Yoo - Sustainability, 2020 - mdpi.com
Social media platforms insist on the so-called “number of visits, clicking, and subscription” as
a measurement of social media performance. However, this method of measurement does …