A comprehensive survey on sentiment analysis: Approaches, challenges and trends

M Birjali, M Kasri, A Beni-Hssane - Knowledge-Based Systems, 2021 - Elsevier
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …

A review of the trends and challenges in adopting natural language processing methods for education feedback analysis

T Shaik, X Tao, Y Li, C Dann, J McDonald… - Ieee …, 2022 - ieeexplore.ieee.org
Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …

Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry

W Aljedaani, F Rustam, MW Mkaouer, A Ghallab… - Knowledge-Based …, 2022 - Elsevier
Twitter being among the popular social media platforms, provide peoples' opinions
regarding specific ideas, products, services, etc. The large amounts of shared data as tweets …

A comprehensive survey on deep clustering: Taxonomy, challenges, and future directions

S Zhou, H Xu, Z Zheng, J Chen, J Bu, J Wu… - arXiv preprint arXiv …, 2022 - arxiv.org
Clustering is a fundamental machine learning task which has been widely studied in the
literature. Classic clustering methods follow the assumption that data are represented as …

[HTML][HTML] A novel approach for dimension reduction using word embedding: An enhanced text classification approach

KN Singh, SD Devi, HM Devi, AK Mahanta - International Journal of …, 2022 - Elsevier
One of the challenging tasks in text classification is to reduce the dimensional feature space.
This paper discusses an enhanced text classification method using Bag-of-Words …

[HTML][HTML] Tweets classification on the base of sentiments for US airline companies

F Rustam, I Ashraf, A Mehmood, S Ullah, GS Choi - Entropy, 2019 - mdpi.com
The use of data from social networks such as Twitter has been increased during the last few
years to improve political campaigns, quality of products and services, sentiment analysis …

[HTML][HTML] Cyberbullying detection: Hybrid models based on machine learning and natural language processing techniques

C Raj, A Agarwal, G Bharathy, B Narayan, M Prasad - Electronics, 2021 - mdpi.com
The rise in web and social media interactions has resulted in the efortless proliferation of
offensive language and hate speech. Such online harassment, insults, and attacks are …

Aspect-based sentiment analysis of mobile phone reviews using LSTM and fuzzy logic

M Sivakumar, SR Uyyala - International Journal of Data Science and …, 2021 - Springer
Nowadays, reviews about the products on online shopping sites become an essential
source to help the customer to take better decisions on buying a product and achieve good …

A Review on recent research in information retrieval

S Ibrihich, A Oussous, O Ibrihich, M Esghir - Procedia Computer Science, 2022 - Elsevier
In this paper, we present a survey of modeling and simulation approaches to describe
information retrieval basics. We investigate its methods, its challenges, its models, its …

[HTML][HTML] Framework for improved sentiment analysis via random minority oversampling for user tweet review classification

SN Almuayqil, M Humayun, NZ Jhanjhi, MF Almufareh… - Electronics, 2022 - mdpi.com
Social networks such as twitter have emerged as social platforms that can impart a massive
knowledge base for people to share their unique ideas and perspectives on various topics …