Results 1 to 10 of about 780,590 (335)
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 +2 more sources
Embarrassingly Simple Unsupervised Aspect Extraction [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 We present a simple but effective method for aspect identification in sentiment analysis. Our unsupervised method only requires word embeddings and a POS tagger, and is therefore straightforward to apply to new domains and languages. We introduce Contrastive Attention (CAt), a novel single-head attention mechanism based on an RBF kernel, which gives a ...
Stéphan Tulkens +1 more
openalex +6 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 +3 more sources
A multi-scale local attention mechanism for aspect extraction [PDF]
Scientific ReportsAspect extraction is a critical step in constructing knowledge graphs and involves extracting aspect information from unstructured text. Current methods typically employ attention-based techniques such as global or local attention mechanisms, each with ...
Qian Yang +7 more
doaj +2 more sources
Integration of Multi-Branch GCNs Enhancing Aspect Sentiment Triplet Extraction [PDF]
Applied Sciences, 2023 Aspect Sentiment Triplet Extraction (ASTE) is a complex and challenging task in Natural Language Processing (NLP). It aims to extract the triplet of aspect term, opinion term, and their associated sentiment polarity, which is a more fine-grained study in
Xuefeng Shi +5 more
doaj +2 more sources
Aspect Term Extraction Based on MFE-CRF [PDF]
Information, 2018 This paper is focused on aspect term extraction in aspect-based sentiment analysis (ABSA), which is one of the hot spots in natural language processing (NLP).
Yanmin Xiang, Hongye He, Jin Zheng
doaj +3 more sources
Aspect-level multimodal sentiment analysis model based on multi-scale feature extraction [PDF]
Scientific ReportsIn existing multimodal sentiment analysis methods, only the last layer output of BERT is typically used for feature extraction, neglecting abundant information from intermediate layers.
Bocheng Miao, Changbo Xu
doaj +2 more sources
Automatic Aspect Extraction from Scientific Texts
, 2023 Being able to extract from scientific papers their main points, key insights, and other important information, referred to here as aspects, might facilitate the process of conducting a scientific literature review. Therefore, the aim of our research is to create a tool for automatic aspect extraction from Russian-language scientific texts of any domain.
Anna Marshalova +2 more
openalex +4 more sources
Enhancing Aspect Extraction for Hindi [PDF]
Proceedings of The 4th Workshop on e-Commerce and NLP, 2021 Aspect extraction is not a well-explored topic in Hindi, with only one corpus having been developed for the task. In this paper, we discuss the merits of the existing corpus in terms of quality, size, sparsity, and performance in aspect extraction tasks using established models.
Alok Debnath +2 more
openaire +1 more source
NOVEL MULTI-LEVEL ASPECT BASED SENTIMENT ANALYSIS FOR IMPROVED ROOT-CAUSE ANALYSIS
ICTACT Journal on Soft Computing, 2021 Aspect extraction and sentiment identification are the two important tasks to provide effective root cause analysis. This work presents a Multi-Level Aspect based Sentiment Analysis (MLASA) model that integrates the aspect extraction and sentiment ...
Naveenkumar Seerangan +1 more
doaj +1 more source