https://github.com/AmirAbaskohi/Persian-Emotion-Detection-using-ParsBERT-and-Imbalanced-Data-Handling-Approaches
공식 코드Persian Emotion Detection using ParsBERT and Imbalanced Data Handling Approaches
Papers with Code 아카이브
Opinion Mining
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Identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral (Source: Oxford Languages)
Image Source: Deep learning for sentiment analysis: A survey
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Babakbehkamkia/GPT-Stance-Detection
공식 코드Zero-Shot Stance Detection using Contextual Data Generation with LLMs
https://github.com/DrImpossible/Sub-word-LSTM
공식 코드Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text
https://github.com/Eroica-cpp/YouTube-Statistics
공식 코드YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles
https://github.com/LukasMut/Subjective_QA
공식 코드https://github.com/NKU-IIPLab/BMRC
공식 코드Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
https://github.com/UKPLab/acl2021-label-suggestions-german-covid19
공식 코드Investigating label suggestions for opinion mining in German Covid-19 social media
https://github.com/abdelkadermh/isarcasmeval
공식 코드https://github.com/abrazinskas/sigir2022-opinion-summarization-tutorial
공식 코드Beyond Opinion Mining: Summarizing Opinions of Customer Reviews
https://github.com/achyudhk/SentiGH
공식 코드Supervised Sentiment Classification with CNNs for Diverse SE Datasets
https://github.com/apairofbigwings/cross-lingual-opinion-mining
공식 코드A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining
https://github.com/bobxwu/cfdtm
공식 코드https://github.com/bobxwu/topmost
공식 코드https://github.com/cedricdeboom/RepresentationLearning
공식 코드Representation learning for very short texts using weighted word embedding aggregation
https://github.com/corradomonti/learnable-opinion-dynamics
공식 코드https://github.com/dengyang17/OAAG
공식 코드Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
https://github.com/epochx/opinatt
공식 코드Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN
https://github.com/epochx/opminreplicability
공식 코드Replication issues in syntax-based aspect extraction for opinion mining
https://github.com/eusip/POM
공식 코드A multimodal movie review corpus for fine-grained opinion mining
https://github.com/fxing79/ibaa
공식 코드Discovering Bayesian Market Views for Intelligent Asset Allocation
https://github.com/gkaramanolakis/ISWD
공식 코드https://github.com/hallie304/vlsp23-comparative-opinion-mining
공식 코드https://github.com/iyanush/yosm
공식 코드https://github.com/jdkong/gender_recognition
공식 코드https://github.com/keshav22bansal/BAKSA_IITK
공식 코드https://github.com/kimkim00/UIT-ViSD4SA
공식 코드Span Detection for Aspect-Based Sentiment Analysis in Vietnamese
https://github.com/kuehnram/findyourfigure
공식 코드Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG Integration
https://github.com/ltgoslo/norec
공식 코드https://github.com/lzswangjian/THGRL
공식 코드https://github.com/nlp4se/review-emotion-analysis
공식 코드What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews
https://github.com/nustm/memd-absa
공식 코드MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis
https://github.com/phosseini/SentiPers
공식 코드https://github.com/pysentimiento/pysentimiento
공식 코드pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks
https://github.com/rit-git/Snippext_public
공식 코드Snippext: Semi-supervised Opinion Mining with Augmented Data
https://github.com/ryang1119/Online-Opinion-Mining
공식 코드Can Large Language Models be Effective Online Opinion Miners?
https://github.com/stevekgyang/bhg
공식 코드A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.