Көңіл-күй полярлығы

Ranking documents or sentences accord- ing to both topic and sentiment relevance should serve a critical function in helping users when topics and sentiment polari- ties of the targeted text …...

Determining the polarity of a sentiment- bearing expression requires more than a sim- ple bag-of-words approach. In particular, words or constituents within the expression can interact with each other to …...

In this paper, we describe our system which participated in the SemEval 2010 task of disambiguating sentiment ambigu- ous adjectives for Chinese. Our system uses text messages from Twitter, a …...

This paper describes our contribution in Opin- ion Target Extraction OTE and Sentiment Po- larity sub tasks of SemEval 2015 ABSA task. A CRF model with IOB notation has been …...

This paper describes our deep learning- based approach to multilingual aspect- based sentiment analysis as part of Se- mEval 2016 Task 5. We use a convo- lutional neural network (CNN) …...

This paper describes the system developed at LIF for the SemEval-2016 evaluation cam- paign. The goal of Task 4.A was to iden- tify sentiment polarity in tweets. The system extends …...

This paper describes our contribution in Opin- ion Target Extraction and Sentiment Polarity sub-tasks of SemEval 2016 ABSA task. Conditional Random Field model has beenA adopted for opinion target extraction. …...

AbstractSarcasm is a form of speech in which speakers say the opposite of what they truly mean in order to convey a strong sentiment. In other words, “Sarcasm is the …...

Several datasets of opinions expressed by Social networks’ users have been created to explore Sentiment Analysis tasks like Sentiment Polarity and Emotion Mining. Most of these datasets are focused on …...

AbstractThis paper describes our system in SemEval-2018 task 12: Argument Reasoning Comprehension. The task is to select the correct warrant that explains reasoning of a particular argument consisting of a …...

AbstractIn this paper, we propose a variational approach to weakly supervised document-level multi-aspect sentiment classification. Instead of using user-generated ratings or annotations provided by domain experts, we use target-opinion word …...

AbstractAspect based sentiment analysis, predicting sentiment polarity of given aspects, has drawn extensive attention. Previous attention-based models emphasize using aspect semantics to help extract opinion features for classification. However, these …...

AbstractThe sentiment polarity of an expression (whether it is perceived as positive, negative or neutral) can be influenced by a number of phenomena, foremost among them negation. Apart from closed-class …...

AbstractMotivated by human attention, computational attention mechanisms have been designed to help neural networks adjust their focus on specific parts of the input data. While attention mechanisms are claimed to …...

AbstractLanguage recognition has been significantly advanced in recent years by means of modern machine learning methods such as deep learning and benchmarks with rich annotations. However, research is still limited …...

Abstractthis paper proposed a parallel-channel model to process the textual and visual information in memes and then analyze the sentiment polarity of memes. In the shared task of identifying and …...

AbstractThis paper presents multidimensional Social Opinion Mining on user-generated content gathered from newswires and social networking services in three different languages: English —a high-resourced language, Maltese —a low-resourced language, and …...

AbstractAspect Category Sentiment Analysis (ACSA), which aims to identify fine-grained sentiment polarities of the aspect categories discussed in user reviews. ACSA is challenging and costly when conducting it into real-world …...

AbstractWe annotate 35,000 SNS posts with both the writer’s subjective sentiment polarity labels and the reader’s objective ones to construct a Japanese sentiment analysis dataset. Our dataset includes intensity labels …...

AbstractAspect-based sentiment analysis (ABSA) has drawn more and more attention because of its extensive applications. However, towards the sentence carried with more than one aspect, most existing works generate an …...

AbstractIn this paper, we propose a novel span-level model for Aspect-Based Sentiment Analysis (ABSA), which aims at identifying the sentiment polarity of the given aspect. In contrast to conventional ABSA …...