What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing

What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:SGAI International Conference on Artificial Intelligence (40. : 2020 : Online) Artificial intelligence XXXVII
1. Verfasser: Li, Irene (VerfasserIn)
Weitere Verfasser: Li, Yixin (VerfasserIn), Li, Tianxiao (VerfasserIn), Alvarez-Napagao, Sergio (VerfasserIn), Garcia-Gasulla, Dario (VerfasserIn), Suzumura, Toyotaro (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Symbolic Explanation Module for Fuzzy Cognitive Map-Based Reasoning Models 2020 Hoitsma, Fabian
Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines 2020 Saha, Rupsa
A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning 2020 Abeyrathna, K. Darshana
Partial-ACO Mutation Strategies to Scale-Up Fleet Optimisation and Improve Air Quality (Best Application Paper) 2020 Chitty, Darren M.
Short-Term Forecasting Methodology for Energy Demand in Residential Buildings and the Impact of the COVID-19 Pandemic on Forecasts 2020 Gomez-Omella, Meritxell
Ensemble-Based Relationship Discovery in Relational Databases 2020 Ogunsemi, Akinola
Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora 2020 Perotto, Filipo Studzinski
Using Sentence Embedding for Cross-Language Plagiarism Detection 2020 Alotaibi, Naif
Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience 2020 Muhammad, lgra
Leveraging Anomaly Detection for Proactive Application Monitoring 2020 Zacharia, Shyam
Exposing Students to New Terminologies While Collecting Browsing Search Data 2020 Zammit, Omar
Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs 2020 An, Yu
Accelerating the Training of an LP-SVR Over Large Datasets 2020 Rivas, Pablo
Learning Categories with Spiking Nets and Spike Timing Dependent Plasticity 2020 Huyck, Christian
Developing Ensemble Methods for Detecting Anomalies in Water Level Data 2020 Khampuengson, Thakolpat
ReLEx: Regularisation for Linear Extrapolation in Neural Networks with Rectified Linear Units 2020 Lopedoto, Enrico
Using Active Learning to Understand the Videoconference Experience: A Case Study 2020 Llewellyn, Simon
An Application of EDA and GA for Permutation Based Spare Part Allocation Problem 2020 Alkaabi, Nouf
The Use of Max-Sat for Optimal Choice of Automated Theory Repairs 2020 Urbonas, Marius
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning 2020 Andersen, Per-Arne
Alle Artikel auflisten