Détection de contradiction dans les commentaires [PDF]
L'analyse des avis (commentaires) générés par les utilisateurs devient de plus en plus exploitable par une variété d'applications. Elle permet de suivre l'évolution des avis ou d'effectuer des enquêtes sur des produits.
Badache, Ismail +2 more
core +1 more source
Sentiment/Subjectivity Analysis Survey for Languages other than English
Subjective and sentiment analysis have gained considerable attention recently. Most of the resources and systems built so far are done for English. The need for designing systems for other languages is increasing.
Aljadda, Khalifeh +2 more
core +1 more source
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction [PDF]
Yew Ken Chia +6 more
openalex +1 more source
Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish
Aspect-Sentiment Triplet Extraction (ASTE) is one of the most challenging and complex tasks in sentiment analysis. It concerns the construction of triplets that contain an aspect, its associated sentiment polarity, and an opinion phrase that serves as a rationale for the assigned polarity. Despite the growing popularity of the task and the many machine
Marta Lango +3 more
openaire +3 more sources
SPAN-LEVEL ASPECT-BASED SENTIMENT TRIPLET ANALYSIS IN GOVERNMENT APPLICATION REVIEWS
The government is enhancing digital public services through mobile applications in line with the Electronic-Based Government System (SPBE) 2018–2025 vision.
Feza Raffa Arnanda +3 more
doaj +1 more source
CANÉPHORE : un corpus français pour la fouille d'opinion ciblée [PDF]
National audienceAspect-based sentiment analysis knows a renewed interest these last years, according to recent opinion mining evaluation series (SemEval 2014 and 2015, DEFT 2015). However, publicly available evaluation resources are scarse.
Lark, Joseph +2 more
core +1 more source
A New Clustering Strategy for Geo‐Referenced Time Series Based on Optimal Transport
ABSTRACT Advances in spatio‐temporal data collection have created a demand for efficient methods to analyze geo‐referenced time series (GTS), which capture changes over time at specific spatial locations. Traditional clustering methods often struggle to handle the high‐dimensional, complex nature of GTS.
Pasquale Pipiciello +2 more
wiley +1 more source
Tagging-Assisted Generation Model with Encoder and Decoder Supervision for Aspect Sentiment Triplet Extraction [PDF]
Luo Xianlong, Meng Yang, Yihao Wang
openalex +1 more source
AI‐Enhanced Semantic Feature Norms for 786 Concepts
Abstract Semantic feature norms have been foundational in the study of human conceptual knowledge, yet traditional methods face trade‐offs between concept/feature coverage and verifiability of quality due to the labor‐intensive nature of norming studies.
Siddharth Suresh +6 more
wiley +1 more source
Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction [PDF]
Hao Chen +4 more
openalex +1 more source

