Results 1 to 10 of about 5,942,207 (204)
A Systematic Review on Implicit and Explicit Aspect Extraction in Sentiment Analysis [PDF]
IEEE Access, 2020 Aspect-based sentiment analysis (ABSA) is currently among the most vigorous areas in natural language processing (NLP). Individuals, private and government institutions are increasingly using media sources for decision making.
Jaafar Zubairu Maitama +4 more
doaj +3 more sources
Aspect extraction on user textual reviews using multi-channel convolutional neural network [PDF]
PeerJ Computer Science, 2019 Aspect extraction is a subtask of sentiment analysis that deals with identifying opinion targets in an opinionated text. Existing approaches to aspect extraction typically rely on using handcrafted features, linear and integrated network architectures ...
Aminu Da’u, Naomie Salim
doaj +4 more sources
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
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
doaj +2 more sources
A Multi-Task Dual-Encoder Framework for Aspect Sentiment Triplet Extraction [PDF]
IEEE Access, 2022 Aspect Sentiment Triplet Extraction (ASTE) is a complex and important task in aspect-based sentiment analysis task, which aims to extract aspect-sentiment-opinion triplets from review sentences, to acquire comprehensive information for sentiment analysis.
Hai Huan +3 more
doaj +2 more sources
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
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
doaj +2 more sources
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
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
doaj +2 more sources
Lifelong Learning CRF for Supervised Aspect Extraction [PDF]
Annual Meeting of the Association for Computational Linguistics, 2017 This paper makes a focused contribution to supervised aspect extraction. It shows that if the system has performed aspect extraction from many past domains and retained their results as knowledge, Conditional Random Fields (CRF) can leverage this ...
Lei Shu, Hu Xu, Bing Liu
openalex +3 more sources