云南高校图书馆联盟文献共享服务平台- LEXICON

LEXICON: 作品数：115被引量：42H指数：4; 导出分析报告; 相关领域：电子电信语言文字更多>>; 相关作者：左万利袁福宇张慧杰罗娜张靖波更多>>; 相关机构：东北师范大学吉林大学哈曼国际工业有限公司华南师范大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金霍英东教育基金上海市教育委员会重点学科基金上海市科学技术委员会资助项目更多>>

Chinese Named Entity Recognition Method for Musk Deer Domain Based on Cross-Attention Enhanced Lexicon Features: 《Computers, Materials & Continua》2025年第5期2989-3005,共17页Yumei Hao Haiyan Wang Dong Zhang; funded by 5·5 Engineering Research&Innovation Team Project of Beijing Forestry University(No.BLRC2023C02).; Named entity recognition(NER)in musk deer domain is the extraction of specific types of entities from unstructured texts,constituting a fundamental component of the knowledge graph,Q&A system,and text summarization sy...; 关键词：Named entity recognition musk deer cross-attention lexicon enhancement

A Chinese Named Entity Recognition Method for News Domain Based on Transfer Learning and Word Embeddings: 《Computers, Materials & Continua》2025年第5期3247-3275,共29页Rui Fang Liangzhong Cui; funded by Advanced Research Project(30209040702).; Named Entity Recognition(NER)is vital in natural language processing for the analysis of news texts,as it accurately identifies entities such as locations,persons,and organizations,which is crucial for applications li...; 关键词：News domain named entity recognition(NER) transfer learning word embeddings ERNIE soft-lexicon

An Effective Machine Learning Approach with Hyperparameter Tuning for Sentiment Analysis: 《Data Intelligence》2025年第1期70-94,共25页Saima Kanwal Ali Raza Chunyan Bai Dawei Zhang Jing Wen Dileep Kumar; supported by the National Key R&D Program of China(2018YFA0701800);the National Natural Science Foundation of China(NSFC,project no.62175153).; Sentiment analysis depends on individuals’comments and opinions on events.Data from social media platforms like Twitter,Quora,or Facebook poses challenges due to informal language,including acronyms,misspellings,and ...; 关键词：Hybrid lexicon Logistic regression(LR) Machine learning Natural language processing(NLP)

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

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