Text mining applied to distance higher education: A systematic literature review
Much of the data produced and consumed by students, teachers, and educational managers
is in textual format. Text Mining (TM) and Natural Language Processing (NLP) have been …
is in textual format. Text Mining (TM) and Natural Language Processing (NLP) have been …
Text analytics and new service development: a hybrid thematic analysis with systematic literature review approach
S Rouhani, SA Bozorgi… - EuroMed Journal of …, 2024 - emerald.com
Purpose This study addresses the gap in understanding text analytics within the service
domain, focusing on new service development to provide insights into key research themes …
domain, focusing on new service development to provide insights into key research themes …
Textual feature extraction using ant colony optimization for hate speech classification
Feature selection and feature extraction have always been of utmost importance owing to
their capability to remove redundant and irrelevant features, reduce the vector space size …
their capability to remove redundant and irrelevant features, reduce the vector space size …
Technological forecasting based on estimation of word embedding matrix using LSTM networks
There are a vast number of quantitative and qualitative technological forecasting methods. In
the last decade, advanced quantitative technological forecasting methods based on the …
the last decade, advanced quantitative technological forecasting methods based on the …
[HTML][HTML] An automated machine learning approach for detecting anomalous peak patterns in time series data from a research watershed in the Northeastern United …
This paper presents an automated machine learning framework designed to assist
hydrologists in detecting anomalies in time series data generated by sensors in a research …
hydrologists in detecting anomalies in time series data generated by sensors in a research …
Proposing sentiment analysis model based on BERT and XLNet for movie reviews
Movie reviews are a valuable source of information for potential viewers. However, reading
all of the reviews can be time-consuming and overwhelming. Summarizing all of the reviews …
all of the reviews can be time-consuming and overwhelming. Summarizing all of the reviews …
Sentiment analysis of movie reviews based on NB approaches using TF–IDF and count vectorizer
Movies have been important in our lives for many years. Movies provide entertainment,
inspire, educate, and offer an escape from reality. Movie reviews help us choose better …
inspire, educate, and offer an escape from reality. Movie reviews help us choose better …
[PDF][PDF] Sentiment Analysis Based on Performance of Linear Support Vector Machine and Multinomial Naïve Bayes Using Movie Reviews with Baseline Techniques.
Movies are the better source of entertainment. Every year, a great percentage of movies are
released. People comment on movies in the form of reviews after watching them. Since it is …
released. People comment on movies in the form of reviews after watching them. Since it is …
Exploring the Importance of Destination Attributes of Sustainable Urban Waterfronts: Text and Data Mining of Tourists' Online Reviews
WC Wang, CH Lin - Sustainability, 2024 - mdpi.com
This study identifies the destination attributes of sustainable urban waterfronts that are
frequently mentioned in tourists' online reviews. We analyzed the influence of these …
frequently mentioned in tourists' online reviews. We analyzed the influence of these …
[HTML][HTML] Analysing Online Reviews Consumers' Experiences of Mobile Travel Applications with Sentiment Analysis and Topic Modelling: The Example of Booking and …
This study aims to analyse consumer experiences, purchase behaviours, and emotional
responses through Booking and Expedia's mobile applications. The 2000 user reviews …
responses through Booking and Expedia's mobile applications. The 2000 user reviews …