Results 301 to 310 of about 379,431 (345)
Some of the next articles are maybe not open access.
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
North American Chapter of the Association for Computational Linguistics, 2019Question-answering plays an important role in e-commerce as it allows potential customers to actively seek crucial information about products or services to help their purchase decision making.
Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
semanticscholar +1 more source
Aspect Based Sentiment Analysis on Product Reviews [PDF]
2018 Fourteenth International Conference on Information Processing (ICINPRO), 2018 With the popularity and growing availability of opinion rich sources such as reviews from e-commerce sites, choosing the right product from huge product brands have difficult for the user. In order to enhance the sales and customer satisfaction, most of the sites provide opportunity for the user to write review aspects about the product.
Niranjan N. Chiplunkar +1 more
openaire +1 more source
Aspect-Based Sentiment Analysis With Heterogeneous Graph Neural Network
IEEE Transactions on Computational Social Systems, 2023Aspect-based sentiment analysis aims to predict sentiment polarities of given aspects in text. Most current approaches employ attention-based neural methods to capture semantic relationships between aspects and words in one sentence.
Wenbin An +3 more
semanticscholar +1 more source
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence
North American Chapter of the Association for Computational Linguistics, 2019Aspect-based sentiment analysis (ABSA), which aims to identify fine-grained opinion polarity towards a specific aspect, is a challenging subtask of sentiment analysis (SA).
Chi Sun, Luyao Huang, Xipeng Qiu
semanticscholar +1 more source
Ontology-Enhanced Aspect-Based Sentiment Analysis
2017With many people freely expressing their opinions and feelings on the Web, much research has gone into modeling and monetizing opinionated, and usually unstructured and textual, Web-based content. Aspect-based sentiment analysis aims to extract the fine-grained topics, or aspects, that people are talking about, together with the sentiment expressed on ...
Kim Schouten +2 more
openaire +3 more sources
Hybrid sentiment classification on twitter aspect-based sentiment analysis
Applied Intelligence, 2017Social media sites and applications, including Facebook, YouTube, Twitter and blogs, have become major social media attractions today. The huge amount of information from this medium has become an attractive resource for organisations to monitor the opinions of users, and therefore, it is receiving a lot of attention in the field of sentiment analysis.
Zainuddin, Nurulhuda +2 more
openaire +3 more sources
Ontological Approach for Aspect-Based Sentiment Analysis
2019 IEEE 5th International Conference on Computer and Communications (ICCC), 2019Sentiment analysis is used to quantify the sentiment of unstructured text, which could be used to draw insights on public opinions about products, services, or any topic that is of relevance. Most of the available sentiment analysis implementations provide an overall sentiment which is not sufficient because it does not provide an aspect-based ...
M.T.N. Deshani +5 more
openaire +2 more sources
Conference on Empirical Methods in Natural Language Processing, 2023
Multimodal Aspect-based Sentiment Analysis (MABSA) is a fine-grained Sentiment Analysis task, which has attracted growing research interests recently. Existing work mainly utilizes image information to improve the performance of MABSA task. However, most
Fei Zhao +5 more
semanticscholar +1 more source
Multimodal Aspect-based Sentiment Analysis (MABSA) is a fine-grained Sentiment Analysis task, which has attracted growing research interests recently. Existing work mainly utilizes image information to improve the performance of MABSA task. However, most
Fei Zhao +5 more
semanticscholar +1 more source
IEEE Transactions on Affective Computing
Multimodal aspect-based sentiment analysis (MABSA) aims to determine the sentiment polarity of each aspect mentioned in the text based on multimodal content. Various approaches have been proposed to model multimodal sentiment features for each aspect via
Qianlong Wang +6 more
semanticscholar +1 more source
Multimodal aspect-based sentiment analysis (MABSA) aims to determine the sentiment polarity of each aspect mentioned in the text based on multimodal content. Various approaches have been proposed to model multimodal sentiment features for each aspect via
Qianlong Wang +6 more
semanticscholar +1 more source
Aspect-based sentiment analysis of mobile reviews
Journal of Intelligent & Fuzzy Systems, 2019E-commerce websites provide an easy platform for users to put forth their viewpoints on different topics-ranging from a news item to any product in the market. Such online content encourages authors to express opinions on various aspects of an entity.
Vivek Singh +3 more
openaire +2 more sources