SemEval-2016 Task 5: Aspect Based Sentiment Analysis [PDF]
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016 International audienceThis paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015.
S Senthilvelan +2 more
exaly +10 more sources
SemEval-2016 Task 6: Detecting Stance in Tweets [PDF]
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016 10th International Workshop on Semantic Evaluation (SemEval-2016), 16-17 June 2016, San Diego, California ...
Parinaz Sobhani
exaly +5 more sources
A semi supervised approach to Arabic aspect category detection using Bert and teacher-student model [PDF]
PeerJ Computer Science, 2023 Aspect-based sentiment analysis tasks are well researched in English. However, we find such research lacking in the context of the Arabic language, especially with reference to aspect category detection.
Miada Almasri +2 more
doaj +3 more sources
Understanding Citizen Issues through Reviews: A Step towards Data Informed Planning in Smart Cities
Applied Sciences (Switzerland), 2018 Governments these days are demanding better Smart City technologies in order to connect with citizens and understand their demands. For such governments, much needed information exists on social media where members belonging to diverse groups share ...
Noman Dilawar +2 more
exaly +3 more sources
Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm [PDF]
Diagnostics, 2023 Depression is increasingly prevalent, leading to higher suicide risk. Depression detection and sentimental analysis of text inputs in cross-domain frameworks are challenging. Solo deep learning (SDL) and ensemble deep learning (EDL) models are not robust
Jaskaran Singh +4 more
doaj +2 more sources
SemEval-2015 Task 12: Aspect Based Sentiment Analysis [PDF]
, 2015 Maria Pontiki +4 more
exaly +2 more sources
Multilingual Fine-Grained Named Entity Recognition [PDF]
Computer Science Journal of Moldova, 2023 The “MultiCoNER II Multilingual Complex Named Entity Recognition” task\footnote[1]{\url{https://multiconer.github.io}} within SemEval 2023 competition focuses on identifying complex named entities (NEs), such as the titles of creative works (e.g., songs,
Viorica-Camelia Lupancu, Adrian Iftene
doaj +1 more source
Aspect Based Sentimental Analysis of Hotel Reviews: A Comparative Study
Sukkur IBA Journal of Computing and Mathematical Sciences, 2020 The increasing use of the internet enables users to share their opinion about what they like and dislike regarding products and services. For efficient decision making, there is a need to analyze these reviews.
Sindhu Abro +4 more
doaj +5 more sources
Improving Semantic Dependency Parsing with Higher-Order Information Encoded by Graph Neural Networks
Applied Sciences, 2022 Higher-order information brings significant accuracy gains in semantic dependency parsing. However, modeling higher-order information is non-trivial. Graph neural networks (GNNs) have been demonstrated to be an effective tool for encoding higher-order ...
Bin Li +4 more
doaj +1 more source
Hybrid Feature Model for Emotion Recognition in Arabic Text
IEEE Access, 2020 In recent years, research into developing state-of-the-art models for Arabic natural language processing tasks has gained momentum. These models must address the added difficulties related to the nature and structure of the Arabic language. In this paper,
Nourah Alswaidan +1 more
doaj +1 more source