Results 21 to 30 of about 6,473,940 (330)
Arabic Aspect Extraction Based on Stacked Contextualized Embedding With Deep Learning
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 S. Fadel, M. Saleh, O. Abulnaja
semanticscholar +1 more source
A Joint Model for Extracting Latent Aspects and Their Ratings From Online Employee Reviews
Frontiers in Physics, 2022 The personal description of a company associated with job satisfaction, company culture, and opinions of senior leadership is available on workplace community websites.
Zhuo-Ming Ren +3 more
doaj +1 more source
LISA: Language-Independent Method for Aspect-Based Sentiment Analysis
IEEE Access, 2020 Understanding “what others think” is one of the most eminent pieces of knowledge in the decision-making process required in a wide spectrum of applications. The procedure of obtaining knowledge from each aspect (property) of users' opinions
Mohammadreza Shams +2 more
doaj +1 more source
An Ontology-Based Approach to Enhance Explicit Aspect Extraction in Standard Arabic Reviews
International Journal of Computing and Digital Systems, 2022 : Currently, one of the most important and di ffi cult areas of research is Arabic Sentiment analysis. Aspect extraction is the most important task in aspect-based sentiment analysis.
S. Behdenna, Ghalem Belalem, F. Barigou
semanticscholar +1 more source
IEEE Access, 2022 Recently, much research has focused on explicit aspect extraction. User reviews in the textual form are unstructured data, creating a very high complexity when processed for sentiment analysis. Previous propagation approaches proposed in this area mainly
Warih Maharani +2 more
doaj +1 more source
On Deriving Nested Calculi for Intuitionistic Logics from Semantic Systems [PDF]
, 2020 This paper shows how to derive nested calculi from labelled calculi for propositional intuitionistic logic and first-order intuitionistic logic with constant domains, thus connecting the general results for labelled calculi with the more refined ...
A Ciabattoni +17 more
core +2 more sources
Journal of ICT Research and Applications, 2020 The use of dependency rules for aspect extraction tasks in aspect-based sentiment analysis is a promising approach. One problem with this approach is incomplete rules. This paper presents an aspect extraction rule learning method that combines dependency
Fariska Zakhralativa Ruskanda +2 more
doaj +1 more source
Comparison of Topic Modelling Approaches in the Banking Context
Applied Sciences, 2023 Topic modelling is a prominent task for automatic topic extraction in many applications such as sentiment analysis and recommendation systems. The approach is vital for service industries to monitor their customer discussions.
Bayode Ogunleye +4 more
doaj +1 more source
Embarrassingly Simple Unsupervised Aspect Extraction [PDF]
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.
Stéphan Tulkens +1 more
semanticscholar +1 more source
Explicit aspect extraction techniques: Review
Journal of Al-Qadisiyah for Computer Science and Mathematics, 2022 Sentiment analysis is gathering opinion keywords, such as aspects, opinions, or features- and figuring out their semantic perspective relations. More specifically, aspect-based sentiment analysis – (ABSA) is a subfield of natural language that focuses on
Arwa Akram, A. Sabir
semanticscholar +1 more source