TRANSFER LEARNING FOR INDONESIAN ASPECT-BASED SENTIMENT ANALYSIS USING LANGUAGE MODEL FINE-TUNING APPROACH

TRANSFER LEARNING FOR INDONESIAN ASPECT-BASED SENTIMENT ANALYSIS USING LANGUAGE MODEL FINE-TUNING APPROACH

Aspect-based sentiment analysis (ABSA) is one of the methods widely used by companies to find out public opinion in detail down to aspects contained in products or services. ABSA is typically divided into two subtasks, namely aspect extraction / categorization which aims to extract the expression of...

Full description

Saved in:

Bibliographic Details
Main Author:	Nurul Azhar, Annisa
Format:	Theses
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/48070
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Institut Teknologi Bandung
Language:	Indonesia

Similar Items

ASPECT CATEGORIZATION AND SENTIMENT CLASSIFICATION FOR INDONESIAN HOTEL REVIEWS
by: Nurul Azhar, Annisa

SENTIMENT BASED ASPECT CLASSIFICATION ON HOTEL DOMAIN BY FINE-TUNING BERT
by: Adhiwijna, Abner

ASPECT-BASED SENTIMENT ANALYSIS IN INDONESIAN LANGUAGE USING GENERATIVE PRE-TRAINED LANGUAGE MODEL WITH MULTITASK LEARNING AND PROMPTING APPROACH
by: Zakya Suchrady, Randy

TRANSFER LEARNING PRETRAINED XLNET MODEL FOR INDONESIAN ASPECT-BASED SENTIMENT CLASSIFICATION
by: Arfananda Ghifari, Naufal

NEURAL FINE-GRAINED SENTIMENT ANALYSIS WITH UNSUPERVISED AND TRANSFER LEARNING APPROACHES
by: HE RUIDAN
Published: (2020)

Mitigating fine-grained hallucination by fine-tuning large vision-language models with caption rewrites
by: WANG, Lei, et al.
Published: (2024)

ASPECT-BASED SENTIMENT CLASSIFICATION FOR INDONESIAN RESTAURANT REVIEW
by: SONORA - NIM : 13514019, WIEGA

Fine grained sentiment analysis
by: Jaiswal, Shantanu
Published: (2018)

Machine learning technicques for aspect based sentiment analysis
by: Chen, Haonan
Published: (2017)

FINE-TUNING INDONESIAN QUESTION ANSWERING MODEL TRAINING WITH TENSOR PROCESSING UNIT
by: Adi Wicaksono, Baskoro

TRANSFER LEARNING USING POST-TRAINING FOR INDONESIAN ASPECT-BASED SENTIMEN ANALYSIS
by: Putu Eka Surya Aditya, I

ASPECT AND SENTIMENT EXPRESSIONS RELATION EXTRACTION FOR INDONESIAN HOTEL REVIEWS
by: Alexander, Arno

Transformer Model Fine-Tuning for Indonesian Automated Essay Scoring with Semantic Textual Similarity
by: Nugroho, Abdul Hamid, et al.
Published: (2022)

LLM-adapters: An adapter family for parameter-efficient fine-tuning of large language models
by: HU, Zhiqiang, et al.
Published: (2023)

ASPECT-BASED SENTIMENT ANALYSIS WITH CATEGORY ENHANCED WORD EMBEDDING AND DEPENDENCY PARSER FOR INDONESIAN REVIEWS
by: Iswara, Kevin

Learning multi-grained aspect target sequence for Chinese sentiment analysis
by: Peng, Haiyun, et al.
Published: (2020)

Single-domain fine-grained sentiment analysis
by: Wang, Yiqi
Published: (2019)

MiMuSA: Mimicking human language understanding for fine-grained multi-class sentiment analysis
by: WANG, Zhaoxia, et al.
Published: (2023)

MiMuSA—mimicking human language understanding for fine-grained multi-class sentiment analysis
by: Wang, Zhaoxia, et al.
Published: (2024)

Improving Natural Language Person Description Search from Videos with Language Model Fine-Tuning and Approximate Nearest Neighbor
by: Yuenyong S.
Published: (2023)

An exploratory study of conventional machine learning and large language models for sentiment analysis
by: ZOU, Cui, et al.
Published: (2024)

INDONESIAN TARGETED ASPECT-BASED SENTIMENT ANALYSIS IN AUTOMOTIVE DOMAIN USING FEATURE MODIFICATION ON BI-LSTM
by: Ilmania, Arfinda

ASPECT-BASED SENTIMENT ANALYSIS FOR GAME REVIEW USING WEAKLY SUPERVISED LEARNING
by: Muhamad Gana, Hanif

Aspect-based sentiment analysis using BERT
by: Kheriwala, Hussain Khozema
Published: (2022)

Aspect-based sentiment analysis for user profiles
by: Ng, Zhiyong
Published: (2021)

Towards generative aspect-based sentiment analysis
by: ZHANG, Wenxuan, et al.
Published: (2021)

Fine-tuning algorithm parameters using the design of experiments approach
by: GUNAWAN, Aldy, et al.
Published: (2011)

SENTIMENT-SPECIFIC WORD EMBEDDING EFFECT ON INDONESIAN SENTIMENT ANALYSIS
by: NAUFAL FARHAN (NIM : 13513049), AHMAD

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
by: Ruidan Hey, et al.
Published: (2021)

TUPLE OPINION EXTRACTION USING GENERATIVE APPROACH BASED ON PRE-TRAINED MODEL FOR ASPECT BASED SENTIMENT ANALYSIS
by: Athallariq Harya P, Danendra

Fine-grained sentiment analysis of social media with emotion sensing
by: WANG, Zhaoxia, et al.
Published: (2017)

Aspect-based sentiment analysis in question answering forums
by: ZHANG, Wenxuan, et al.
Published: (2021)

Gender-based multi-aspect sentiment detection using multilabel learning
by: Kumar, J. Ashok, et al.
Published: (2022)

SENTIMENT ANALYSIS IN SUNDANESE USING PRETRAINED MULTILINGUAL LANGUAGE MODEL
by: Permana, Hadi

Transfer learning for language model adaptation
by: Bari M. Saiful
Published: (2023)

Fine-grained sentiment classification of social media
by: Le Thi, Nhu Y
Published: (2017)

Aspect-based Twitter sentiment classification
by: Lek, H.H., et al.
Published: (2014)

Jointly Modeling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS)
by: DIAO, Qiming, et al.
Published: (2014)

Aspect-based sentiment analysis for restaurant reviews on food items
by: Liu, Zhixuan
Published: (2023)

DEVELOPMENT OF DOMAIN-SPECIFIC LEXICON FOR ASPECT-BASED SENTIMENT ANALYSIS
by: Michelle, Prisila