Results 81 to 90 of about 3,813 (211)

Leveraging Unsupervised Task Adaptation and Semi‐Supervised Learning With Semantic‐Enriched Representations for Online Sexism Detection

Expert Systems, Volume 42, Issue 2, February 2025.
ABSTRACT Over the past decade, the proliferation of hateful and sexist content targeting women on social media has become a concerning issue, adversely affecting women's lives and freedom of expression. Previous efforts to detect online sexism have utilized monolingual ensemble transformers combined with data augmentation techniques that incorporate ...
Francisco Rodríguez‐Sánchez, Jorge Carrillo‐de‐Albornoz, Laura Plaza   +2 more
wiley   +1 more source

Improving Multi-Label Emotion Classification on Imbalanced Social Media Data With BERT and Clipped Asymmetric Loss

IEEE Access
This research addresses the challenge of multi-label emotion classification on imbalanced datasets using a BERT-based model. Emotion classification, essential for applications like social media analysis and sentiment monitoring, often suffers from class ...
Sandhya Ramakrishnan, L. D. Dhinesh Babu
doaj   +1 more source

I2C-Huelva at SemEval-2023 Task 9: Analysis of Intimacy in Multilingual Tweets Using Resampling Methods and Transformers [PDF]

, 2023
Abel Pichardo Estevez, Jacinto Mata Vázquez, Victoria Pachón, Nordin El Balima Cordero   +3 more
openalex   +1 more source

Fast Fine‐Tuning Large Language Models for Aspect‐Based Sentiment Analysis

Electronics Letters, Volume 61, Issue 1, January/December 2025.
The method proposed in this study aims to reduce the execution time required for fine‐tuning large language models in aspect‐based sentiment analysis. To achieve efficient fine‐tuning, the large‐language model parameter tuning for new data is accelerated through rank decomposition.
Chaelyn Lee, Jaesung Lee
wiley   +1 more source

SemEval-2015 Task 10: Sentiment Analysis in Twitter [PDF]

Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), 2015
Sentiment analysis, sentiment towards a topic, quantification, microblog sentiment analysis; Twitter opinion ...
Rosenthal, Sara, Nakov, Preslav, Kiritchenko, Svetlana, Mohammad, Saif, Ritter, Alan, Stoyanov, Veselin   +5 more
openaire   +3 more sources

Drug–drug interaction extraction‐based system: An natural language processing approach

Expert Systems, Volume 42, Issue 1, January 2025.
Abstract Poly‐medicated patients, especially those over 65, have increased. Multiple drug use and inappropriate prescribing increase drug–drug interactions, adverse drug reactions, morbidity, and mortality. This issue was addressed with recommendation systems.
José Machado, Carla Rodrigues, Regina Sousa, Luis Mendes Gomes   +3 more
wiley   +1 more source

SemEval-2016 Task 2: Interpretable Semantic Textual Similarity [PDF]

Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016
Comunicació presentada al 10th International Workshop on Semantic Evaluation (SemEval-2016), celebrat els dies 16 i 17 de juny de 2016 a San Diego, Califòrnia.
Agirre, Eneko, Gonzalez Agirre, Aitor, Lopez-Gazpio, Iñigo, Maritxalar, Montserrat, Rigau Claramunt, German, Uria, Larraitz   +5 more
openaire   +2 more sources

Explainable AI Models for Decoding Emotional Subtexts on Social Media

Complexity, Volume 2025, Issue 1, 2025.
Social media platforms, such as X (formerly Twitter), provide users with concise but impactful tools to express their views and feelings. Users present their views and express their feelings in hashtags and emojis on a wide range of topics. The sheer volume of this textual data offers a rich source for analyzing public sentiment and emotions.
Dost Muhammad, Iftikhar Ahmed, Khwaja Naveed, Malika Bendechache, Pramita Mishra   +4 more
wiley   +1 more source

SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis [PDF]

, 2023
Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozen Liu, Leonardo Neves, David Jurgens, Francesco Barbieri   +6 more
openalex   +1 more source

Sarcasm Detection in Sentiment Analysis Using Recurrent Neural Networks

International Journal of Distributed Sensor Networks, Volume 2025, Issue 1, 2025.
In recent years, online opinionated textual data volume has surged, necessitating automated analysis to extract valuable insights. Data mining and sentiment analysis have become essential for analysing this type of text. Sentiment analysis is a text classification problem associated with many challenges, including better data preprocessing and sarcasm ...
Maneeha Rani, Muhammad Babar, Syed Zafar Ali Shah, Ali Abbas, Muhammad Sohail Hayat, Shafiq Ahmad, Sadaqat Jan, Rahul Priyadarshi   +7 more
wiley   +1 more source