ARTICLE
|
doi:10.20944/preprints202111.0023.v1
Subject:
Engineering,
Control And Systems Engineering
Keywords:
Twitter; Social Media Analysis; User Behavior Mining; Crime Detection; Feature Extraction; Graph Analysis; Natural Language Processing; Text Classification; Aspect-based Sentiment Analysis; DistilBERT
Online: 1 November 2021 (15:25:19 CET)
ARTICLE
|
doi:10.20944/preprints202407.2434.v1
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
User Behavior Analysis; Big Data; Machine Learning; Natural Language Processing; Livestreaming E-Commerce; Text-Mining; Targeted Marketing; Strategic Decision-Making; Ethical AI; Sentiment Analysis.
Online: 30 July 2024 (09:10:08 CEST)
ARTICLE
|
doi:10.20944/preprints202403.0704.v1
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
AI phobia; Artificial Intelligence; AI; natural language processing; large language models; machine learning; topics; sentiment; emotion; fear; risk; threat; news; headlines; ML; NLP; LLMs
Online: 13 March 2024 (07:03:07 CET)
ARTICLE
|
doi:10.20944/preprints202211.0005.v1
Subject:
Medicine And Pharmacology,
Epidemiology And Infectious Diseases
Keywords:
Epidemics; Twitter; Natural Language Processing; Topic Modelling; Sentiment Analysis; ARI; Cholera; Ebola; HIV/AIDS; Influenza; Malaria; Spanish influenza; Swine flu; Tuberculosis; Typhus; Yellow fever; and Zika
Online: 1 November 2022 (01:17:14 CET)
ARTICLE
|
doi:10.20944/preprints202310.0172.v1
Subject:
Social Sciences,
Geography, Planning And Development
Keywords:
Biophilic Design; Well-being and Health; Built Environment; Facial Emotion Recognition (FER); Residual Masking Networks; Large Language Models for Sentiment Detection; Architectural Impact on Emotions; Natural Elements and Productivity
Online: 3 October 2023 (16:19:34 CEST)
ARTICLE
|
doi:10.20944/preprints202307.1233.v1
Subject:
Computer Science And Mathematics,
Information Systems
Keywords:
SPARSAR = Specialized NLP system for English Poetry organized into ten feeding modules and over twenty dictionaries; Automatic Analysis of English Poems; Visualization of Linguistic and Poetic Content; Creating Clusters of Boxes of Different Dimension one for each poem according to linguistic content and positioning each box in a space; Computing Sound-Sense Harmony; Comparing Phonetic and Phonological Features with Meaning; Automatic Lexical and Semantic Sentiment Analysis of Poetry; Appraisal Theory Framework.
Online: 18 July 2023 (12:24:24 CEST)