A systematic review of trimodal affective computing approaches: Text, audio, and visual integration in emotion recognition and sentiment analysis
At the heart of affective computing lies the crucial task of decoding human emotions, a field
that expertly intertwines emotion identification with the nuances of sentiment analysis. This …
that expertly intertwines emotion identification with the nuances of sentiment analysis. This …
[PDF][PDF] Salogni at GeoLingIt: Geolocalization by Fine-tuning BERT
I Salogni - Proceedings of the Eighth Evaluation Campaign of …, 2023 - ceur-ws.org
The recent growing interest in low-resource languages has been significantly bolstered by
transformer-based models. By fine-tuning three such models, two based on BERT and the …
transformer-based models. By fine-tuning three such models, two based on BERT and the …
Geoinference of author affiliations using NLP-based text classification
B Lee, JS Brownstein, IS Kohane - Scientific Reports, 2024 - nature.com
Author affiliations are essential in bibliometric studies, requiring relevant information
extraction from free-text affiliations. Precisely determining an author's location from their …
extraction from free-text affiliations. Precisely determining an author's location from their …
Analyzing Large Language Models' Capability in Location Prediction
In this paper, we investigate and evaluate large language models' capability in location
prediction. We present experimental results with four models—FLAN-T5, FLAN-UL2, FLAN …
prediction. We present experimental results with four models—FLAN-T5, FLAN-UL2, FLAN …
Developing AI-Driven Cross-Platform Geolocation for Enhanced Strategic Decision-Making
A Fiallos - International Conference on Applied Informatics, 2024 - Springer
The development of AI-driven geolocation technology is important for applications in
business, sustainable development, education, and other fields. This study introduces a …
business, sustainable development, education, and other fields. This study introduces a …
[PDF][PDF] Geolocation Extraction From Reddit Text Data.
M Stillman, AM Kruspe - GeoExT@ ECIR, 2024 - ceur-ws.org
Reddit has been an important source of news and information exchange in the past two
decades. This social media platform is composed of communities forming spaces where …
decades. This social media platform is composed of communities forming spaces where …
Leveraging Large Language Models for Textual Geotagging: A Novel Approach to Location Inference
A Sultanov - Computer Tools in Education, 2024 - cte.eltech.ru
This study explores the application of Large Language Models (LLMs), particularly GPT-4o,
to textual geotagging, introducing a novel dataset of tweets with geographical annotations …
to textual geotagging, introducing a novel dataset of tweets with geographical annotations …
[PDF][PDF] Cross Lingual Named Entity Recognition using Deep Learning
VV Kadidam - 2024 - scholarworks.calstate.edu
Delving into the intricate domain of cross-lingual Named Entity Recognition (NER), one
arrive at a pivotal juncture in assessing the effectiveness of the innovative model. At the …
arrive at a pivotal juncture in assessing the effectiveness of the innovative model. At the …
[引用][C] Salogni at GeoLinglt: Geolocalization by Fine-tuning BERT Ilaria Salogni¹ ¹Università di Pisa, Italy
I Salogni¹ - … of the Eighth Evaluation Campaign of …, 2024 - Accademia University Press