Exploring the landscape of automatic text summarization: a comprehensive survey

B Khan, ZA Shah, M Usman, I Khan, B Niazi - IEEE Access, 2023 - ieeexplore.ieee.org
The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends
to automatically create summaries of enormous amounts of text so that readers can save …

Influence of pre-processing strategies on the performance of ML classifiers exploiting TF-IDF and BOW features

AP Pimpalkar, RJR Raj - ADCAIJ: Advances in Distributed Computing …, 2020 - torrossa.com
Opinion Mining (OM) continues with the implementation of technology that can distinguish
positive and negative expressions that are part of conversations and remarks. Because of …

Ruemo—the classification framework for russia-ukraine war-related societal emotions on twitter through machine learning

P Vyas, G Vyas, G Dhiman - Algorithms, 2023 - mdpi.com
The beginning of this decade brought utter international chaos with the COVID-19 pandemic
and the Russia-Ukraine war (RUW). The ongoing war has been building pressure across …

Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT

JA Benítez-Andrades, Á González-Jiménez… - PeerJ Computer …, 2022 - peerj.com
With the growth that social networks have experienced in recent years, it is entirely
impossible to moderate content manually. Thanks to the different existing techniques in …

Leveraging predictive modeling, machine learning personalization, NLP customer support, and AI chatbots to increase customer loyalty

N Patel, S Trivedi - Empirical Quests for Management Essences, 2020 - researchberg.com
Abstract AI, ML, and NLP are profoundly altering the way organizations work. With the
increasing influx of data and the development of AI systems to understand it in order to solve …

Sentiment analysis of Amazon product reviews using machine learning and deep learning models

JC Gope, T Tabassum, MM Mabrur, K Yu… - … on Advancement in …, 2022 - ieeexplore.ieee.org
Due to the expansion of social networks and e-commerce websites, sentiment analysis or
opinion mining has become a more active study issue in recent years. The objective of …

Post-pandemic pedagogy: Emergency remote teaching impact on students with functional diversity

S Tzimiris, S Nikiforos, KL Kermanidis - Education and Information …, 2023 - Springer
The Covid-19 outbreak caused transition from face-to-face teaching to Emergency Remote
Teaching (ERT). Due to the hastily and disorganized implementation of ERT considerable …

Sentiment analysis of Twitter data by making use of SVM, Random Forest and Decision Tree algorithm

J Singh, P Tripathi - 2021 10th IEEE International Conference …, 2021 - ieeexplore.ieee.org
Data production over the internet has been increased tremendously because of social
media sites' growth. A significant number of users share their thoughts, images, videos etc …

[HTML][HTML] Evolution of social mood in Spain throughout the COVID-19 vaccination process: a machine learning approach to tweets analysis

A Turón, A Altuzarra, JM Moreno-Jiménez, J Navarro - Public health, 2023 - Elsevier
Objectives This paper presents a new approach based on the combination of machine
learning techniques, in particular, sentiment analysis using lexicons, and multivariate …

Mood and emotion assessment for risk reduction of pandemic spread through passenger air transport: a DSS applied to the COVID‐19 in the case of Spain

J Aguarón, A Altuzarra, R Aznar… - International …, 2024 - Wiley Online Library
This paper presents a decision support system (DSS) for sentiment analysis of Spanish texts
based on lexicons. The information provided by this DSS, named Spanish Sentiment …