LEXICON

作品数:112被引量:42H指数:4
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Lexicon-based fine-tuning of multilingual language models for low-resource language sentiment analysis
《CAAI Transactions on Intelligence Technology》2024年第5期1116-1125,共10页Vinura Dhananjaya Surangika Ranathunga Sanath Jayasena 
Vinura Dhananjaya was funded by a Senate Research Committee grant(SRC/LT/2020/11)of the University of Moratuwa.
Pre-trained multilingual language models (PMLMs) such as mBERT and XLM-R have shown good cross-lingual transferability. However, they are not specifically trained to capture cross-lingual signals concerning sentiment ...
关键词:deep learning natural languages natural language processing 
SciCN:A Scientific Dataset for Chinese Named Entity Recognition
《Computers, Materials & Continua》2024年第3期4303-4315,共13页Jing Yang Bin Ji Shasha Li Jun Ma Jie Yu 
This research was supported by the National Key Research and Development Program[2020YFB1006302].
Named entity recognition(NER)is a fundamental task of information extraction(IE),and it has attracted considerable research attention in recent years.The abundant annotated English NER datasets have significantly prom...
关键词:Named entity recognition DATASET scientific information extraction LEXICON 
Applying English Idiomatic Expressions to Classify Deep Sentiments in COVID-19 Tweets
《Computer Systems Science & Engineering》2023年第10期37-54,共18页Bashar Tahayna Ramesh Kumar Ayyasamy 
This work was supported in part by the UTAR Research Fund(IPSR/RMC/U TARRF/2020-C1/R01).
Millions of people are connecting and exchanging information on social media platforms,where interpersonal interactions are constantly being shared.However,due to inaccurate or misleading information about the COVID-1...
关键词:Sentiment analysis idiomatic lexicon BERT COVID-19 deep learning 
Chinese Named Entity Recognition Augmented with Lexicon Memory
《Journal of Computer Science & Technology》2023年第5期1021-1035,共15页周奕 郑骁庆 黄萱菁 
supported by the National Key Research and Development Program of China under Grant No.2018YFC0830900;the National Natural Science Foundation of China under Grant No.62076068;Shanghai Municipal Science and Technology Project under Grant No.21511102800。
Inspired by the concept of content-addressable retrieval from cognitive science,we propose a novel fragment-based Chinese named entity recognition(NER)model augmented with a lexicon-based memory in which both characte...
关键词:named entity recognition(NER) lexicon-based memory content-addressable retrieval position-dependent feature neural network 
Aspect-Based Sentiment Analysis for Social Multimedia:A Hybrid Computational Framework
《Computer Systems Science & Engineering》2023年第8期2415-2428,共14页Muhammad Rizwan Rashid Rana Saif Ur Rehman Asif Nawaz Tariq Ali Azhar Imran Abdulkareem Alzahrani Abdullah Almuhaimeed 
People utilize microblogs and other social media platforms to express their thoughts and feelings regarding current events,public products and the latest affairs.People share their thoughts and feelings about various ...
关键词:ASPECTS deep learning LEXICON sentiments REVIEWS 
Discharge Summaries Based Sentiment Detection Using Multi-Head Attention and CNN-BiGRU
《Computer Systems Science & Engineering》2023年第7期981-998,共18页Samer Abdulateef Waheeb 
This work was supported by the National Natural Science Foundation of China(Grant No.U1811262).
Automatic extraction of the patient’s health information from the unstructured data concerning the discharge summary remains challenging.Discharge summary related documents contain various aspects of the patient heal...
关键词:Sentiment analysis LEXICON discharge summaries active learning multi-head attention mechanism 
Thalassemia Screening by Sentiment Analysis on Social Media Platform Twitter被引量:1
《Computers, Materials & Continua》2023年第7期665-686,共22页Wadhah Mohammed M.Aqlan Ghassan Ahmed Ali Khairan Rajab Adel Rajab Asadullah Shaikh Fekry Olayah Shehab Abdulhabib Saeed Alzaeemi Kim Gaik Tay Mohd Adib Omar Ernest Mangantig 
The authors are thankful to the Deanship of Scientific Research at Najran University for funding this work under the Research Collaboration Funding program grant coder NU/RC/SERC/11/5.
Thalassemia syndrome is a genetic blood disorder induced by the reduction of normal hemoglobin production,resulting in a drop in the size of red blood cells.In severe forms,it can lead to death.This genetic disorder h...
关键词:Social media platform TWITTER SCREENING THALASSEMIA lexicon-based VADER 
一种基于Lexicon-CBOW命名实体简写识别技术
《计算机与数字工程》2023年第6期1328-1332,1386,共6页吴健 朱小龙 周从华 
中文命名实体识别任务是指识别文本中具有特定意义的实体,一般由词向量层、特征提取层、输出层组成。论文考虑词向量的训练方法。目前广泛应用的CBOW、Skip-gram词向量训练模型是利用给定的词预测目标词出现的概率。由于语料库一般来源...
关键词:实体简写 命名实体识别 实体标签 词向量 
Drug Usage Safety from Drug Reviews with Hybrid Machine Learning Approach
《Computer Systems Science & Engineering》2023年第6期3053-3077,共25页Ernesto Lee Furqan Rustam Hina Fatima Shahzad Patrick Bernard Washington Abid Ishaq Imran Ashraf 
With the increasing usage of drugs to remedy different diseases,drug safety has become crucial over the past few years.Often medicine from several companies is offered for a single disease that involves the same/simil...
关键词:Drug safety analysis lexicon-based techniques drug reviews sentiment analysis machine learning CNN-LSTM 
Small Lexicon on Ecology (for Those Interested in Cities)
《Chinese Business Review》2023年第2期37-44,共8页Olivier Lefebvre 
Some notions about ecology show that if there is not a corpus there is an interesting and pertinent debate.We quote:on the environment itself,negative commons,mistake of the isolated system,dealing with the symptoms a...
关键词:ECOLOGY urban planning adaptation mitigation 
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