Sentiment analysis for the natural environment: A systematic review
In this systematic review, Kitchenham's framework is used to explore what tasks, techniques,
and benchmarks for Sentiment Analysis have been developed for addressing topics about …
and benchmarks for Sentiment Analysis have been developed for addressing topics about …
Evaluation of transformer models for financial targeted sentiment analysis in Spanish
Nowadays, financial data from social media plays an important role to predict the stock
market. However, the exponential growth of financial information and the different polarities …
market. However, the exponential growth of financial information and the different polarities …
An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning
Abstract Multimodal Entity-Based Sentiment Analysis (MEBSA) is an emerging task within
sentiment analysis, with the objective of simultaneously detecting entity, sentiment, and …
sentiment analysis, with the objective of simultaneously detecting entity, sentiment, and …
Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study
Abstract Machine learning and deep learning models are increasingly susceptible to
adversarial attacks, particularly in critical areas like cybersecurity and Information Disorder …
adversarial attacks, particularly in critical areas like cybersecurity and Information Disorder …
Transitive consistency constrained learning for entity-to-entity stance detection
Entity-to-entity stance detection identifies the stance between a pair of entities with a
directed link that indicates the source, target and polarity. It is a streamlined task without the …
directed link that indicates the source, target and polarity. It is a streamlined task without the …
RuSentNE-2023: Evaluating Entity-Oriented Sentiment Analysis on Russian News Texts
A Golubev, N Rusnachenko… - arxiv preprint arxiv …, 2023 - arxiv.org
The paper describes the RuSentNE-2023 evaluation devoted to targeted sentiment analysis
in Russian news texts. The task is to predict sentiment towards a named entity in a single …
in Russian news texts. The task is to predict sentiment towards a named entity in a single …
The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis
We conduct an inquiry into the sociotechnical aspects of sentiment analysis (SA) by critically
examining 189 peer-reviewed papers on their applications, models, and datasets. Our …
examining 189 peer-reviewed papers on their applications, models, and datasets. Our …
EventGraph: event extraction as semantic graph parsing
Event extraction involves the detection and extraction of both the event triggers and
corresponding event arguments. Existing systems often decompose event extraction into …
corresponding event arguments. Existing systems often decompose event extraction into …
Entity-level sentiment analysis (ELSA): An exploratory task survey
This paper explores the task of identifying the overall sentiment expressed towards volitional
entities (persons and organizations) in a document--what we refer to as Entity-Level …
entities (persons and organizations) in a document--what we refer to as Entity-Level …
Machamp at semeval-2022 tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task multi-lingual learning for a pre-selected set of semantic datasets
R Van der Goot - Proceedings of the 16th International Workshop …, 2022 - aclanthology.org
Previous work on multi-task learning in Natural Language Processing (NLP)
oftenincorporated carefully selected tasks as well as carefully tuning ofarchitectures to share …
oftenincorporated carefully selected tasks as well as carefully tuning ofarchitectures to share …