Výsledky vyhledávání - Information systems Information retrieval Retrieval tasks and goals Sentiment analysis

A robust approach for aspect-based sentiment analysis using deep learning and domain ontologies.

Autoři: Sharma, Srishti Saraswat, Mala

Zdroj: Electronic Library. 2024, Vol. 42 Issue 3, p498-518. 21p.

Témata: *Artificial intelligence, *Natural language processing, *Artificial neural networks, *Conceptual structures, *Sentiment analysis, *Ontologies (Information retrieval), *Machine learning, *Semantics, *Algorithms, Electronic commerce, Deep learning, Hotels

Public Opinion Evolution Law and Sentiment Analysis of Campus Online Public Opinion Events.

Autoři: Xu, Zhengzhi Ye, Zi Ye, Haiyang a další

Zdroj: Journal of Advanced Computational Intelligence & Intelligent Informatics. Jul2024, Vol. 28 Issue 4, p990-1004. 15p.

Témata: *PUBLIC opinion, *SENTIMENT analysis, *SOCIAL media, *LEGAL opinions, *COLLEGE teachers, *PUBLIC spaces

A MapReduce Opinion Mining for COVID-19-Related Tweets Classification Using Enhanced ID3 Decision Tree Classifier

Autoři: Fatima Es-Sabery Khadija Es-sabery Junaid Qadir a další

Zdroj: IEEE Access, Vol 9, Pp 58706-58739 (2021)

Témata: FOS: Computer and information sciences, Artificial intelligence, Text Mining, Word embedding, Information gain ratio, 02 engineering and technology, Detection and Prevention of Phishing Attacks, Social media, Sentiment analysis, Artificial Intelligence, Machine learning, Automated Detection of Hate Speech and Offensive Language, Sentiment Analysis, Decision tree, 0202 electrical engineering, electronic engineering, information engineering, Information retrieval, MapReduce, Opinion Mining, Data mining, Natural Language Processing, HDFS, Computer science, ID3 decision tree, TK1-9971, World Wide Web, Sentiment Analysis and Opinion Mining, Hadoop, Emotion Recognition, Computer Science, Physical Sciences, opinion mining, Electrical engineering. Electronics. Nuclear engineering, Classifier (UML), feature extractors, Information Systems, Embedding

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09404185.pdf
https://doaj.org/article/aaaef0f196d841408c4f036ca2453eec
https://ieeexplore.ieee.org/document/9404185
https://doi.org/10.1109/ACCESS.2021.3073215
https://dblp.uni-trier.de/db/journals/access/access9.html#Es-SaberyEQAHZD21

Irony detection on microposts with limited set of features

Autoři: Taslioglu, Hande Karagöz, Pınar

Témata: Information systems, Information retrieval, Retrieval tasks and goals, Information extraction, Sentiment analysis

Relation: 85020932107; https://hdl.handle.net/11511/44911

Dostupnost: https://hdl.handle.net/11511/44911
https://doi.org/10.1145/3019612.3019818

Text Categorization for Information Retrieval Using NLP Models

Autoři: Oday Oday Vijay Madaan Rajaa Daami Resen a další

Zdroj: Journal of Cybersecurity and Information Management. 15:305-321

An Interactive Tool for Goal Model Construction Using a Knowledge Graph

Autoři: Shahin Abdoul Soukour William Aboucaya Nikolaos Georgantas a další

Přispěvatelé: Shahin Abdoul Soukour William Aboucaya Nikolaos Georgantas a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031885303

Témata: Knowledge graph, Software engineering, Natural Language Inference, Knowledge Graph, Requirement engineering, Goal-Oriented Requirement Engineering, [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], Goal-oriented requirements engineering, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, Natural language Processing, Natural language inference, Graph-to-Text, Software Engineeering, Goal modeling, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], Natural Language Processing, Requirement Engineering

Popis souboru: application/pdf

Přístupová URL adresa: https://inria.hal.science/hal-05207665v1
https://inria.hal.science/hal-04907365v2

An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment Analysis

Autoři: Shi, Tian Wang, Ping Reddy, Chandan K.

Témata: FOS: Computer and information sciences, Computer Science - Computation and Language, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, Computation and Language (cs.CL), Information Retrieval (cs.IR), Computer Science - Information Retrieval, 0105 earth and related environmental sciences

Přístupová URL adresa: http://arxiv.org/abs/2009.09112

Natural language processing in veterinary pathology: A review.

Autoři: Stimmer, Lev Kuiper, Raoul V. Polledo, Laura a další

Zdroj: Veterinary Pathology. Nov2025, Vol. 62 Issue 6, p829-848. 20p.

Leveraging Knowledge Graphs for Goal Model Generation

Autoři: Abdoul Soukour, Shahin Aboucaya, William Georgantas, Nikolaos a další

Přispěvatelé: Abdoul Soukour, Shahin Aboucaya, William Georgantas, Nikolaos a další

Témata: Natural Language Inference, KAOS, [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], Domain Knowledge Graph, Goal-oriented Requirements Engineering, Natural Language Processing

Popis souboru: application/pdf

Přístupová URL adresa: https://inria.hal.science/hal-04486653v2

OSIH-BERT: A Model for Predicting Sexual Health Information Based on Pre-trained Model and Voting Mechanism (Preprint)

Autoři: Jie cheng zhi-meng zhang Ling-tao liu a další

Change-Related Communication and Employees' Responses During the Anticipation Stage of IT-Enabled Organizational Transformation: A Case Study

Autoři: Tsai, Hsing-Yi Compeau, Deborah

Zdroj: Business Administration Faculty Publications

Témata: Information systems, information retrieval, retrieval tasks and goals, sentiment analysis, management of computing and information systems, implementation management, human-centered computing, human-computer interaction (HCI), Computer Engineering, Management Information Systems

Relation: https://digitalcommons.cedarville.edu/business_administration_publications/147; https://dl.acm.org/citation.cfm?id=3158425&CFID=850442592&CFTOKEN=24605179

Dostupnost: https://digitalcommons.cedarville.edu/business_administration_publications/147
https://dl.acm.org/citation.cfm?id=3158425&CFID=850442592&CFTOKEN=24605179

Sentiment analysis on social media for stock movement prediction

Autoři: Nguyen, Thien Hai Shirai, Kiyoaki Velcin, Julien

Přispěvatelé: Nguyen, Thien Hai Shirai, Kiyoaki Velcin, Julien

Zdroj: Expert Systems with Applications. 42:9603-9611

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-WB] Computer Science [cs]/Web, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, 02 engineering and technology, Message board, Classification, 7. Clean energy, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Social media, Opinion mining, Sentiment analysis, 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], Stock, Prediction

Přístupová URL adresa: https://hal.science/hal-01203094v1
https://doi.org/10.1016/j.eswa.2015.07.052

Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets.

Autoři: Matharaarachchi, Surani Domaratzki, Mike Katz, Alan a další

Zdroj: JMIR Formative Research; Sep2022, Vol. 6 Issue 9, p1-15, 15p

Témata: SENTIMENT analysis, SOCIAL media, COVID-19 pandemic, HEALTH information systems, DATA mining

Emotion detection in artistic creation: A multi-sensor fusion approach leveraging biomechanical cues and enhanced CNN models.

Autoři: Du, Peng

Zdroj: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 4, p1-18, 18p

Témata: EMOTION recognition, CONVOLUTIONAL neural networks, ARTISTIC creation, PHYSIOLOGY, BIOMECHANICS, MULTISENSOR data fusion, SENTIMENT analysis

Harmonizing minds and machines: survey on transformative power of machine learning in music.

Autoři: Jing Liang

Zdroj: Frontiers in Neurorobotics; 2023, p1-15, 15p

Témata: MACHINE learning, MUSICAL analysis, ARTIFICIAL intelligence, INFORMATION retrieval, CONTEMPLATION, DEEP learning

"A Hybrid Approach to Sentiment Analysis: Combining Rule-Based and Machine Learning Techniques".

Autoři: RASHEED, TAYYABA PARVEEN, NAZIYA SULTANA, MASRATH a další

Zdroj: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 3, p1960-1978, 19p

Témata: SENTIMENT analysis, RANDOM forest algorithms, LOGISTIC regression analysis, MACHINE learning, WEBSITES

Combating Disinformation with Neurocognitive AI: A Hybrid Model for Crisis Communication.

Autoři: Eskiadi, Ioanna Georgia Monastiridis, Prodromos

Zdroj: BRAIN: Broad Research in Artificial Intelligence & Neuroscience; Sep2025, Vol. 16 Issue 3, p199-217, 19p

Témata: DISINFORMATION, CRISIS communication, SENTIMENT analysis, INTERDISCIPLINARY research, AFFECTIVE computing, PUBLIC opinion, HUMAN behavior models

News Analyser, Aggregator & Translator.

Autoři: Pawar, Rupali Vijay Kulkarni, Umesh L.

Zdroj: Frontiers in Health Informatics; 2024, Vol. 13 Issue 6, p1286-1299, 14p

Témata: MACHINE learning, RANDOM forest algorithms, SENTIMENT analysis, WEB-based user interfaces, FEATURE extraction

Improving forecasting accuracy using quantile regression neural network combined with unrestricted mixed data sampling.

Autoři: Hassan, Umaru Ismail, Mohd Tahir

Zdroj: Journal of Nigerian Society of Physical Sciences; Nov2023, Vol. 5 Issue 4, p1-17, 17p

Témata: QUANTILE regression, GROSS domestic product, DATA analysis, NONLINEAR analysis, INFORMATION retrieval

SentiVec: Learning Sentiment-Context Vector via Kernel Optimization Function for Sentiment Analysis.

Autoři: Zhu, Luyao Li, Wei Shi, Yong a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Jun2021, Vol. 32 Issue 6, p2561-2572, 12p

Témata: KERNEL functions, SENTIMENT analysis, SUPERVISED learning, NATURAL language processing, STATISTICS, KERNEL operating systems, MICROBLOGS

Reviews & Products: MICROSOFT Windows (Operating system)