Results 41 to 50 of about 583,468 (318)
A supervised scheme for aspect extraction in sentiment analysis using the hybrid feature set of word dependency relations and lemmas [PDF]
PeerJ Computer Science, 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 ...
Bhavana R. Bhamare, Jeyanthi Prabhu
doaj +2 more sources
Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction [PDF]
Proceedings of the 28th International Conference on Computational Linguistics, 2020 A fundamental task of fine-grained sentiment analysis is aspect and opinion terms extraction. Supervised-learning approaches have shown good results for this task; however, they fail to scale across domains where labeled data is lacking. Non pre-trained unsupervised domain adaptation methods that incorporate external linguistic knowledge have proven ...
Oren Pereg +2 more
openaire +1 more source
Applied AI Letters, 2023 Users of e‐commerce websites review different aspects of a product in the comment section. In this research, an approach is proposed for opinion aspect extraction and recognition in selling systems.
Kamal Sharbatian +1 more
doaj +1 more source
Frontiers in Neurorobotics, 2023 Aspect Sentiment Triplet Extraction (ASTE) is a challenging task in natural language processing (NLP) that aims to extract triplets from comments. Each triplet comprises an aspect term, an opinion term, and the sentiment polarity of the aspect term.
Yanbo Li, Qing He, Damin Zhang
doaj +1 more source
Econometrics meets sentiment : an overview of methodology and applications [PDF]
, 2020 The advent of massive amounts of textual, audio, and visual data has spurred the development of econometric methodology to transform qualitative sentiment data into quantitative sentiment variables, and to use those variables in an econometric analysis ...
Algaba, Andres +4 more
core +2 more sources
Detailing Sentiment Analysis to Consider Entity Aspects: An Approach for Portuguese Short Texts [PDF]
, 2018 Sentiment analysis is useful for identifying trends, or for discovering user preferences, which can later be applied to campaign targeting or recommendations.
Mourão, Mário +2 more
core +1 more source
An algorithm for accurate taillight detection at night [PDF]
, 2014 Vehicle detection is an important process of many advance driver assistance system (ADAS) such as forward collision avoidance, Time to collision (TTC) and Intelligence headlight control (IHC). This paper presents a new algorithm to detect a vehicle ahead
Boonsim, Noppakun, Prakoonwit, Simant
core +2 more sources
Unsupervised Neural Aspect Search with Related Terms Extraction
, 2020 The tasks of aspect identification and term extraction remain challenging in natural language processing. While supervised methods achieve high scores, it is hard to use them in real-world applications due to the lack of labelled datasets. Unsupervised approaches outperform these methods on several tasks, but it is still a challenge to extract both an ...
Sokhin, Timur +2 more
openaire +2 more sources
Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture
, 2017 The World Wide Web holds a wealth of information in the form of unstructured texts such as customer reviews for products, events and more. By extracting and analyzing the expressed opinions in customer reviews in a fine-grained way, valuable ...
AP Aprosio +7 more
core +1 more source
Enhancing Arabic Aspect-Based Sentiment Analysis Using End-to-End Model
IEEE Access, 2023 The majority of research on the Aspect-Based Sentiment Analysis (ABSA) tends to split this task into two subtasks: one for extracting aspects, Aspect Term Extraction (ATE), and another for identifying sentiments toward particular aspects, Aspect ...
Ghada M. Shafiq +3 more
doaj +1 more source