Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM

2014-01-01 · TACL 2014 1 · Lizhen Qu, Yi Zhang, Rui Wang, Lili Jiang, Rainer Gemulla, Gerhard Weikum

Extracting instances of sentiment-oriented relations from user-generated web documents is important for online marketing analysis. Unlike previous work, we formulate this extraction task as a structured prediction problem and design the corresponding inference as an integer linear program. Our latent structural SVM based model can learn from training corpora that do not contain explicit annotations of sentiment-bearing expressions, and it can simultaneously recognize instances of both binary (polarity) and ternary (comparative) relations with regard to entity mentions of interest. The empirical evaluation shows that our approach significantly outperforms state-of-the-art systems across domains (cameras and movies) and across genres (reviews and forum posts). The gold standard corpus that we built will also be a valuable resource for the community.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

MarketingRelationRelation Extraction Sentiment Analysis Structured Prediction

Methods 이 논문이 사용한 방법론

SVM A Support Vector Machine, or SVM, is a non-parametric supervised learning model. For non-linear classification and regression, they utilise the kernel trick to map inputs…

Target-oriented Multimodal Sentiment Classification with Counterfactual-enhanced Debiasing

2025-09-11 · Zhiyue Liu, Fanrong Ma, Xin Ling arxiv

Target-oriented multimodal sentiment classification seeks to predict sentiment polarity for specific targets from image-text pairs. While existing works achieve competitive performance, they often over-rely on textual co…

Contrastive Learning Data Augmentation

Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network

2020-12-01 · COLING 2020 8 · Hongjie Cai, Yaofeng Tu, Xiangsheng Zhou, Jianfei Yu 외

Most of the aspect based sentiment analysis research aims at identifying the sentiment polarities toward some explicit aspect terms while ignores implicit aspects in text. To capture both explicit and implicit aspects, w…

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)Aspect Category Detection Sentiment Analysis+1

Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits

2017-08-01 · CONLL 2017 8 · Quanzhi Li, Sameena Shah

Previous studies have shown that investor sentiment indicators can predict stock market change. A domain-specific sentiment lexicon and sentiment-oriented word embedding model would help the sentiment analysis in financi…

Decision Making Sentiment Analysis Word Embeddings

CC30k: A Citation Contexts Dataset for Reproducibility-Oriented Sentiment Analysis

2025-11-11 · Rochana R. Obadage, Sarah M. Rajtmajer, Jian Wu arxiv

Sentiments about the reproducibility of cited papers in downstream literature offer community perspectives and have shown as a promising signal of the actual reproducibility of published findings. To train effective mode…

Sentiment Analysis

Sentiment-oriented Transformer-based Variational Autoencoder Network for Live Video Commenting

2024-04-19 · Fengyi Fu, Shancheng Fang, Weidong Chen, Zhendong Mao

Automatic live video commenting is with increasing attention due to its significance in narration generation, topic explanation, etc. However, the diverse sentiment consideration of the generated comments is missing from…

Diversity