Lsislif: CRF and Logistic Regression for Opinion Target Extraction and Sentiment Polarity Analysis

Lsislif: Feature Extraction and Label Weighting for Sentiment Analysis in Twitter

CHILLAX - at Arabic Hate Speech 2022: A Hybrid Machine Learning and Transformers based Model to Detect Arabic Offensive and Hate Speech

Hate speech and offensive language have become a crucial problem nowadays due to the extensive usage of social media by people of different gender, nationality, religion and other types of characteristics allowing anyone…

Target-specified Sequence Labeling with Multi-head Self-attention for Target-oriented Opinion Words Extraction

Opinion target extraction and opinion term extraction are two fundamental tasks in Aspect Based Sentiment Analysis (ABSA). Many recent works on ABSA focus on Target-oriented Opinion Words (or Terms) Extraction (TOWE), wh…

Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling

Opinion target extraction and opinion words extraction are two fundamental subtasks in Aspect Based Sentiment Analysis (ABSA). Recently, many methods have made progress on these two tasks. However, few works aim at extra…

Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction (ASTE) is the most recent subtask of ABSA which outputs triplets of an aspect target, its associated sentiment, and the corresponding opinion term. Recent models perform the triplet ex…