A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews [PDF]
, 2020 Despite the recent advances in opinion mining for written reviews, few works have tackled the problem on other sources of reviews. In light of this issue, we propose a multi-modal approach for mining fine-grained opinions from video reviews that is able ...
Balazs, Jorge A. +4 more
core +2 more sources
IEEE Access, 2021 Aspect-based sentiment analysis (ABSA) aims to identify views and sentiment polarities towards a given aspect in reviews. Compared with general sentiment analysis, ABSA can provide more detailed and complete information.
Narisa Zhao, Huan Gao, Xin Wen, Hui Li
doaj +1 more source
Optical tomography: Image improvement using mixed projection of parallel and fan beam modes [PDF]
, 2013 Mixed parallel and fan beam projection is a technique used to increase the quality images. This research focuses on enhancing the image quality in optical tomography.
Abdul Rahim, Ruzairi +6 more
core +1 more source
In no uncertain terms : a dataset for monolingual and multilingual automatic term extraction from comparable corpora [PDF]
, 2020 Automatic term extraction is a productive field of research within natural language processing, but it still faces significant obstacles regarding datasets and evaluation, which require manual term annotation.
Hoste, Veronique +2 more
core +2 more sources
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
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
Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures [PDF]
, 2018 Dynamic hand gesture recognition is of great importance in human-computer interaction. In this study, the authors investigate the effect of sparsity-driven time-frequency analysis on hand gesture classification.
Fioranelli, Francesco +3 more
core +1 more source
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
Basic tasks of sentiment analysis
, 2017 Subjectivity detection is the task of identifying objective and subjective sentences. Objective sentences are those which do not exhibit any sentiment.
DM Blei +20 more
core +1 more source