Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Hongya Zhao"'
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Introduction: Aspect-based sentiment classification is a fine-grained sentiment classification task. State-of-the-art approaches in this field leverage graph neural networks to integrate sentence syntax dependency. However, current methods fail to ex
Externí odkaz:
https://doaj.org/article/df1527e9cb234e719bd8773185c90430
Publikováno v:
Mathematics, Vol 10, Iss 21, p 4099 (2022)
The domain of Aspect Level Sentiment Classification, in which the sentiment toward a given aspect is analyzed, attracts much attention in NLP. Recently, the state-of-the-art Aspect Level Sentiment Classification methods are devised by using the Graph
Externí odkaz:
https://doaj.org/article/afdb471347f74baeb2e4e8aa4e3087b5
Publikováno v:
BMC Cancer, Vol 18, Iss 1, Pp 1-13 (2018)
Abstract Background Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer related death in the world with a five-year survival rate of less than 5%. Not all PDAC are the same, because there exist intra-tumoral heterogeneity be
Externí odkaz:
https://doaj.org/article/04f6b8f023b74bc7b0126ae8782defd2
Publikováno v:
PLoS ONE, Vol 11, Iss 9, p e0162293 (2016)
Co-clustering, often called biclustering for two-dimensional data, has found many applications, such as gene expression data analysis and text mining. Nowadays, a variety of multi-dimensional arrays (tensors) frequently occur in data analysis tasks,
Externí odkaz:
https://doaj.org/article/7cda49a2634f46b692fa1cd3ef63b9f5
Publikováno v:
International Journal of Data Warehousing and Mining. 19:1-15
Aspect-based sentiment analysis (ABSA) aims to classify the sentiment polarity of a given aspect in a sentence or document, which is a fine-grained task of natural language processing. Recent ABSA methods mainly focus on exploiting the syntactic info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d6a17f3c7488fe80326dedc69c8eee4
https://doi.org/10.4018/ijdwm.319803
https://doi.org/10.4018/ijdwm.319803
Semi-Supervised Sentiment Classification on E-Commerce Reviews Using Tripartite Graph and Clustering
Publikováno v:
International Journal of Data Warehousing and Mining. 18:1-20
Sentiment classification constitutes an important topic in the field of Natural Language Processing, whose main purpose is to extract the sentiment polarity from unstructured texts. The label propagation algorithm, as a semi-supervised learning metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8df8b0816678c8ee04fda57d5d72fb0
https://doi.org/10.4018/ijdwm.307904
https://doi.org/10.4018/ijdwm.307904
Publikováno v:
Annals of Operations Research. 309:817-835
Timely identification of heterogeneous customer requirements serves as a vital step for a company to formulate product strategies to meet the diverse and changing needs of its customers. By relaxing the search for global patterns in classical cluster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db1cefece6234a22990f9b883d00c4ea
https://doi.org/10.1007/s10479-020-03607-7
https://doi.org/10.1007/s10479-020-03607-7
Publikováno v:
Information Sciences. 503:72-91
The analysis of tensor data is necessary in many applications. Similar to bi-clustering of matrix data, multiscale co-clustering can simultaneously extract coherent patterns along all or partial modes of a tensor. However, numerical methods for co-cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35578b963b6af7c74123931e5dc84636
https://doi.org/10.1016/j.ins.2019.06.044
https://doi.org/10.1016/j.ins.2019.06.044
Publikováno v:
ICMLC
In recent years, targeted sentiment analysis has received great attention as a fine-grained sentiment analysis. Determining the sentiment polarity of a specific target in a sentence is the main task. This paper proposes a multi-channel convolutional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19714fe38118fd3f3393e36237f09e5c
Publikováno v:
BMC Cancer, Vol 18, Iss 1, Pp 1-13 (2018)
BMC Cancer
BMC Cancer
Background Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer related death in the world with a five-year survival rate of less than 5%. Not all PDAC are the same, because there exist intra-tumoral heterogeneity between PDA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05066d4aae62468aca3744ca70a441dc
http://link.springer.com/article/10.1186/s12885-018-4546-8
http://link.springer.com/article/10.1186/s12885-018-4546-8