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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
semanticscholar +8 more sources
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
Automatic Aspect Extraction from Scientific Texts
International Joint Conference on the Analysis of Images, Social Networks and 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
semanticscholar +5 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
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 +2 more sources
Arabic Aspect Extraction Based on Stacked Contextualized Embedding With Deep Learning [PDF]
IEEE Access, 2022 The exponential growth of the internet and a multi-fold increase in social media users in the last decade have resulted in a massive growth of unstructured data.
Arwa Saif Fadel +2 more
openalex +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
Improving aspect-level sentiment analysis with aspect extraction
Neural Computing and Applications, 2020 Aspect-based sentiment analysis (ABSA), a popular research area in NLP, has two distinct parts—aspect extraction (AE) and labelling the aspects with sentiment polarity (ALSA). Although distinct, these two tasks are highly correlated. The work primarily hypothesizes that transferring knowledge from a pre-trained AE model can benefit the performance of ...
Navonil Majumder +4 more
semanticscholar +5 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