Results 11 to 20 of about 446,831 (348)
Supervised Methods for Aspect-Based Sentiment Analysis [PDF]
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014 In this paper, we present our contribution in SemEval2014 ABSA task, some supervised methods for Aspect-Based Sentiment Analysis of restaurant and laptop reviews are proposed, implemented and evaluated. We focus on determining the aspect terms existing in each sentence, finding out their polarities, detecting the categories of the sentence and the ...
Hussam Hamdan +2 more
openaire +2 more sources
Survey of Aspect-based Sentiment Analysis Datasets
CoRR, 2022 Aspect-based sentiment analysis (ABSA) is a natural language processing problem that requires analyzing user-generated reviews to determine: a) The target entity being reviewed, b) The high-level aspect to which it belongs, and c) The sentiment expressed toward the targets and the aspects.
Siva Uday Sampreeth Chebolu +3 more
openaire +3 more sources
SemEval-2016 Task 5: Aspect Based Sentiment Analysis [PDF]
International Workshop on Semantic Evaluation, 2016 This paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015. In its third year, the task provided 19 training and 20 testing datasets for 8 languages and 7 domains ...
Maria Pontiki +6 more
semanticscholar +2 more sources
Applied Sciences, 2023 Most of the aspect-based sentiment analysis research completes the two subtasks (aspect terms extraction and aspect sentiment classification) separately, and it cannot see the full picture and actual effect of the complete aspect-based sentiment analysis.
Musheng Chen +3 more
doaj +2 more sources
Aspect Based Sentiment Analysis - Twitter
, 2022 Due to the increased use and popularity of social media platforms in the most recent technological period, sentiment categorization has emerged as an important research area among those platforms. When it comes to Twitter, the main problem of previous research is, they all did a sentiment classification on the document level (Tweet level).
Jinan Fiaidhi +2 more
openaire +2 more sources
Interventional Aspect-Based Sentiment Analysis
CoRR, 2021 Recent neural-based aspect-based sentiment analysis approaches, though achieving promising improvement on benchmark datasets, have reported suffering from poor robustness when encountering confounder such as non-target aspects. In this paper, we take a causal view to addressing this issue.
Zhen Bi +5 more
openaire +2 more sources
Aspect-based Sentiment Analysis Based on Aspect Semantic and Gated Filtering Network [PDF]
Jisuanji kexue, 2023 Aspect-based sentiment analysis(ABSA)is a fine-grained sentiment analysis,which aims to predict sentiment polarity of text toward a specific aspect.Currently,given the excellent capabiities of recurrent neural networks(RNN) in sequence mode-ling and the ...
HE Zhihao, CHEN Hongmei, LUO Chuan
doaj +1 more source
Aspect-based Sentimental Analysis for Travellers’ Reviews
SSRN Electronic Journal, 2023 Airport service quality evaluation is commonly found on social media, including Google Maps. This valuable for airport management in order to enhance the quality of services provided. However; prior studies either provide general review for topics discussed by travellers or provide sentimental value to tag the entire review without specifically ...
Mohammed Saad M. Alaydaa +2 more
openaire +2 more sources
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2022 As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis (ABSA), aiming to analyze and understand people's opinions at the aspect level, has been attracting considerable interest in the last decade.
Wenxuan Zhang +4 more
semanticscholar +1 more source
A More Fine-Grained Aspect–Sentiment–Opinion Triplet Extraction Task
Mathematics, 2023 Sentiment analysis aims to systematically study affective states and subjective information in digital text through computational methods. Aspect Sentiment Triplet Extraction (ASTE), a subtask of sentiment analysis, aims to extract aspect term, sentiment
Yuncong Li, Fang Wang, Sheng-hua Zhong
doaj +1 more source