Exploring BERT for Aspect Extraction in Portuguese Language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Sentiment Analysis is the computer science field that comprises techniques that aim to automatically extract opinions from texts. Usually, these techniques assign a Sentiment Orientation to the whole document (Document Level Sentiment Analysis).
Émerson Lopes +2 more
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IEEE Access, 2023 Aspect-based sentiment analysis (ABSA) includes aspect extraction and sentiment analysis on those extracted aspects. This paper is mainly focused on the explicit aspect extraction from product based online customer reviews.
Pallavi Mishra, Sandeep Kumar Panda
doaj +2 more sources
Deep2s: Improving Aspect Extraction in Opinion Mining With Deep Semantic Representation
IEEE Access, 2020 Syntactical rule based approaches for aspect extraction, which are free from expensive manual annotation, are promising in practice. These approaches extract aspects mainly through the dependency relations in the surface sentence structures.
Xuelian Li +6 more
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Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text
IEEE AccessAspect extraction poses a significant challenge in Natural Language Processing (NLP). Extracting explicit and implicit aspects from online text data remains an ongoing challenge despite significant research efforts.
Mikail Muhammad Azman Busst +4 more
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Multi-Domain Aspect Extraction Using Bidirectional Encoder Representations From Transformers
IEEE Access, 2021 Deep learning and neural language models have obtained state-of-the-art results in aspects extraction tasks, in which the objective is to automatically extract characteristics of products and services that are the target of consumer opinion.
Brucce Neves Dos Santos +2 more
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A supervised scheme for aspect extraction in sentiment analysis using the hybrid feature set of word dependency relations and lemmas. [PDF]
PeerJ Comput Sci, 2021 Due to the massive progression of the Web, people post their reviews for any product, movies and places they visit on social media. The reviews available on social media are helpful to customers as well as the product owners to evaluate their products ...
Bhamare BR, Prabhu J.
europepmc +2 more sources
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction [PDF]
AAAI Conference on Artificial Intelligence, 2022 Automatic identification of salient aspects from user reviews is especially useful for opinion analysis. There has been significant progress in utilizing weakly supervised approaches, which require only a small set of seed words for training aspect ...
Chang-Yu Tai, Mingyao Li, Lun‐Wei Ku
openalex +3 more sources
Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations [PDF]
arXiv.org, 2023 Existing aspect extraction methods mostly rely on explicit or ground truth aspect information, or using data mining or machine learning approaches to extract aspects from implicit user feedback such as user reviews.
Pan Li +3 more
semanticscholar +1 more source
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs [PDF]
International Conference on Information and Knowledge Management, 2022 The extraction of aspect terms is a critical step in fine-grained sentiment analysis of text. Existing approaches for this task have yielded impressive results when the training and testing data are from the same domain.
Phillip Howard +7 more
semanticscholar +1 more source
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 The rise of pre-trained language models has yielded substantial progress in the vast majority of Natural Language Processing (NLP) tasks. However, a generic approach towards the pre-training procedure can naturally be sub-optimal in some cases ...
Entony Lekhtman +2 more
semanticscholar +1 more source