Results 121 to 130 of about 15,278 (236)
Extracting Explicit and Implicit Aspects Using Deep Learning
Emerging Science JournalThe proliferation of user-generated content on social networks and websites has heightened the significance of sentiment analysis, also known as opinion mining, as a critical tool for comprehending people’s attitudes toward various topics.
Mikail Muhammad Azman Busst +3 more
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Identifying interactions between chemical entities in biomedical text
Journal of Integrative Bioinformatics, 2014 Interactions between chemical compounds described in biomedical text can be of great importance to drug discovery and design, as well as pharmacovigilance.
Lamurias Andre +2 more
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, 2018 Training deep neural networks requires many training samples, but in practice training labels are expensive to obtain and may be of varying quality, as some may be from trusted expert labelers while others might be from heuristics or other sources of ...
Dehghani, Mostafa +4 more
core
IEEE AccessAspect extraction is the most important factor influencing the quality of Aspect-Based Sentiment Analysis (ABSA). Aspect extractions are divided into three approaches: supervised, unsupervised, and hybrid methods.
Mohammad Mashrekul Kabir +2 more
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IEEE AccessAspect-based sentiment classification, as a more fine-grained sentiment analysis task, focuses on predicting the sentiment tendency expressed in a sentence based on specific aspects.
Qingxiang Zeng
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UTH_CCB: A report for SemEval 2014 – Task 7 Analysis of Clinical Text [PDF]
, 2014 Yaoyun Zhang +6 more
openalex +1 more source