Results 81 to 90 of about 14,560 (254)
A New Sentiment-Enhanced Word Embedding Method for Sentiment Analysis
Applied Sciences, 2022 Since some sentiment words have similar syntactic and semantic features in the corpus, existing pre-trained word embeddings always perform poorly in sentiment analysis tasks.
Qizhi Li +4 more
doaj +1 more source
Large-Scale Goodness Polarity Lexicons for Community Question Answering
, 2017 We transfer a key idea from the field of sentiment analysis to a new domain: community question answering (cQA). The cQA task we are interested in is the following: given a question and a thread of comments, we want to re-rank the comments so that the ...
Church Kenneth Ward +5 more
core +1 more source
Employing synthetic data for addressing the class imbalance in aspect-based sentiment classification
Journal of Information and TelecommunicationThe class imbalance problem, in which the distribution of different classes in training data is unequal or skewed, is a prevailing problem. This can lead to classifier algorithms being biased, negatively impacting the performance of the minority class ...
Vaishali Ganganwar, Ratnavel Rajalakshmi
doaj +1 more source
Complex Word Identification: Challenges in Data Annotation and System Performance
, 2017 This paper revisits the problem of complex word identification (CWI) following up the SemEval CWI shared task. We use ensemble classifiers to investigate how well computational methods can discriminate between complex and non-complex words.
Malmasi, Shervin +3 more
core +1 more source
Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets
, 2017 There has been a good amount of progress in sentiment analysis over the past 10 years, including the proposal of new methods and the creation of benchmark datasets.
Barnes, Jeremy +2 more
core +1 more source
Arabic Short‐Text Dataset for Sentiment Analysis of Tourism and Leisure Events
Expert Systems, Volume 42, Issue 5, May 2025.ABSTRACT The focus of this study is to present the detailed process of collecting a dataset of Arabic short‐text in the tourism context and annotating this dataset for the task of sentiment analysis using an automatic zero‐shot labelling technique utilising transformer‐based models.
Seham Basabain +4 more
wiley +1 more source
CTSys at SemEval-2018 Task 3: Irony in Tweets [PDF]
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018 L'objectif de cet article est de fournir une description d'un système construit comme notre participation à la tâche 3 de SemEval-2018 sur la détection de l'ironie dans les tweets en anglais. Ce système classe un tweet comme ironique ou non ironique grâce à une approche d'apprentissage supervisé.
Myan Sherif +2 more
openaire +2 more sources
Semantic Sentiment Analysis of Twitter Data
, 2017 Internet and the proliferation of smart mobile devices have changed the way information is created, shared, and spreads, e.g., microblogs such as Twitter, weblogs such as LiveJournal, social networks such as Facebook, and instant messengers such as Skype
B Jansen +15 more
core +1 more source
Expert Systems, Volume 42, Issue 2, February 2025.ABSTRACT Over the past decade, the proliferation of hateful and sexist content targeting women on social media has become a concerning issue, adversely affecting women's lives and freedom of expression. Previous efforts to detect online sexism have utilized monolingual ensemble transformers combined with data augmentation techniques that incorporate ...
Francisco Rodríguez‐Sánchez +2 more
wiley +1 more source
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009 In this paper, we describe the Argument Selection and Coercion task, currently in development for the SemEval-2 evaluation exercise scheduled for 2010. This task involves characterizing the type of compositional operation that exists between a predicate and the arguments it selects.
Anna Rumshisky, James Pustejovsky
openaire +2 more sources