[HTML][HTML] Analysis of Pharmaceutical Companies' Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public
The COVID-19 pandemic, a period of great turmoil, was coupled with the emergence of an
“infodemic”, a state when the public was bombarded with vast amounts of unverified …
“infodemic”, a state when the public was bombarded with vast amounts of unverified …
Augmenting mental healthcare with artificial intelligence, machine learning, and challenges in telemedicine
Artificial intelligence is a huge part of the healthcare industry, having applications and uses
in oncology, cardiology, dermatology, and many other fields. Another area where AI is …
in oncology, cardiology, dermatology, and many other fields. Another area where AI is …
A hybrid approach of Poisson distribution LDA with deep Siamese Bi-LSTM and GRU model for semantic similarity prediction for text data
Prediction of semantic similarity between text data is an open and challenging research
issue in the NLP-Natural Language-processing field. Traditional semantic text-similarity …
issue in the NLP-Natural Language-processing field. Traditional semantic text-similarity …
A sentiment analysis method for COVID-19 network comments integrated with semantic concept
J Li, L Jiang, G Huang, J Zhang - Engineering Applications of Artificial …, 2024 - Elsevier
In recent years, the new coronavirus COVID-19 has brought great disaster and loss to the
world and is still spreading around the world. The situation in China is generally well …
world and is still spreading around the world. The situation in China is generally well …
Extracting information and inferences from a large text corpus
The usage of various software applications has grown tremendously due to the onset of
Industry 4.0, giving rise to the accumulation of all forms of data. The scientific, biological, and …
Industry 4.0, giving rise to the accumulation of all forms of data. The scientific, biological, and …
Tourist reviews summarization and sentiment analysis based on aspects
Reading massive amounts of user-generated text and pulling out the relevant aspects and
opinions is a complicated process. Summaries, on the other hand, help busy people who …
opinions is a complicated process. Summaries, on the other hand, help busy people who …
Significance of preprocessing techniques on text classification over hindi and english short texts
Good quality text data gives a better interpretation of results and provides efficient learning
models. The real-world text data comes with many irregularities and errors that need good …
models. The real-world text data comes with many irregularities and errors that need good …
A Study of Multimodal Colearning, Application in Biometrics and Authentication
Summary “Multimodality” refers to utilizing multiple communication methods to comprehend
our environment better and enhance the user's experience. Using multimodal data, we may …
our environment better and enhance the user's experience. Using multimodal data, we may …
The Limits of Words: Expanding a Word-Based Emotion Analysis System with Multiple Emotion Dictionaries and the Automatic Extraction of Emotive Expressions
L Wang, S Isomura, M Ptaszynski, P Dybala, Y Urabe… - Applied Sciences, 2024 - mdpi.com
Wide adoption of social media has caused an explosion of information stored online, with
the majority of that information containing subjective, opinionated, and emotional content …
the majority of that information containing subjective, opinionated, and emotional content …
Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique
I Guillén-Pacho, C Badenes-Olmedo… - International Journal of …, 2024 - Springer
The work presented in this article focusses on improving the interpretability of probabilistic
topic models created from a large collection of scientific documents that evolve over time …
topic models created from a large collection of scientific documents that evolve over time …