Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis
Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …
embraced by individuals, groups, and organizations as a valuable source of information …
Machine learning based customer sentiment analysis for recommending shoppers, shops based on customers' review
S Yi, X Liu - Complex & Intelligent Systems, 2020 - Springer
Big data analytics plays a major role in various industries using computing applications such
as E-commerce and real-time shop**. Big data are used for promoting products and …
as E-commerce and real-time shop**. Big data are used for promoting products and …
Evaluating extreme hierarchical multi-label classification
Several natural language processing (NLP) tasks are defined as a classification problem in
its most complex form: Multi-label Hierarchical Extreme classification, in which items may be …
its most complex form: Multi-label Hierarchical Extreme classification, in which items may be …
Leveraging SMEs technologies adoption in the Covid-19 pandemic: A case study on Twitter-based user-generated content
JR Saura, D Palacios-Marqués… - The Journal of …, 2023 - Springer
The COVID-19 pandemic has caused many entrepreneurs and small and medium
enterprises (SMEs) to adapt their business models and business strategies to the …
enterprises (SMEs) to adapt their business models and business strategies to the …
Recent advances in the discipline of text based affect recognition
Sentiment analysis is a part of natural language processing, along with text mining. Over the
years, sentiment analysis has become a key study area for researchers and industries all …
years, sentiment analysis has become a key study area for researchers and industries all …
Unsupervised news topic modelling with Doc2Vec and spherical clustering
In the digital and Internet era, companies are racing to profile their target users based on
their online activities. One of the reliable sources is the news articles they read that can …
their online activities. One of the reliable sources is the news articles they read that can …
Hierarchical Deep Document Model
Topic modeling is a commonly used text analysis tool for discovering latent topics in a text
corpus. However, while topics in a text corpus often exhibit a hierarchical structure (eg …
corpus. However, while topics in a text corpus often exhibit a hierarchical structure (eg …
Diachronic profile of startup companies through social media
Social media platforms have become powerful tools for startups, hel** them find
customers and raise funding. In this study, we applied a social media intelligence-based …
customers and raise funding. In this study, we applied a social media intelligence-based …
Predicting the customer's opinion on amazon products using selective memory architecture-based convolutional neural network
T Mandhula, S Pabboju, N Gugulotu - The journal of Supercomputing, 2020 - Springer
Opinion mining and sentiment analysis are useful to extract subjective information out of
bulk text documents. Predicting the customer's opinion on amazon products has several …
bulk text documents. Predicting the customer's opinion on amazon products has several …
A recurrent neural networks based framework for at‐risk learners' early prediction and MOOC tutor's decision support
Y Mourdi, M Sadgal… - Computer …, 2023 - Wiley Online Library
Abstract Since their beginning, Massive Open Online Courses (MOOC) have known great
success and have managed to establish themselves with significant enrollment rates …
success and have managed to establish themselves with significant enrollment rates …