[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Feng et al., 2024 - Google Patents

A CNN-BiLSTM algorithm for Weibo emotion classification with attention mechanism

Feng et al., 2024

View HTML
Document ID
7818354780205476276
Author
Feng X
Angkawisittpan N
Yang X
Publication year
Publication venue
Mathematical Models in Engineering

External Links

Snippet

Weibo short text information contains a large amount of network language, emoticons, etc., and due to the long-time span of the content, the emotions of the posts posted by people often change due to time or the occurrence of certain special events. Therefore, traditional …
Continue reading at www.extrica.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/21Text processing
    • G06F17/22Manipulating or registering by use of codes, e.g. in sequence of text characters
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634Querying
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2705Parsing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705Clustering or classification
    • G06F17/30707Clustering or classification into predefined classes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2765Recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30017Multimedia data retrieval; Retrieval of more than one type of audiovisual media
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR

Similar Documents

Publication Publication Date Title
Rodman A timely intervention: Tracking the changing meanings of political concepts with word vectors
CN110390103B (en) Automatic short text summarization method and system based on double encoders
Zhang et al. Retweet prediction with attention-based deep neural network
CN111581401B (en) Local citation recommendation system and method based on depth correlation matching
CN112131350B (en) Text label determining method, device, terminal and readable storage medium
Daouadi et al. Optimizing semantic deep forest for tweet topic classification
Chen et al. Visual and textual sentiment analysis using deep fusion convolutional neural networks
Shen et al. SsciBERT: A pre-trained language model for social science texts
Liu et al. AMFF: A new attention-based multi-feature fusion method for intention recognition
CN116958997B (en) Graphic summary method and system based on heterogeneous graphic neural network
Zeng et al. Automatic intent-slot induction for dialogue systems
Wang et al. Multimodal graph convolutional networks for high quality content recognition
Du et al. A topic recognition method of news text based on word embedding enhancement
Bharti et al. Hyperbolic feature-based sarcasm detection in Telugu conversation sentences
Badour et al. Hateful memes classification using machine learning
Ren et al. ABML: attention-based multi-task learning for jointly humor recognition and pun detection
Wang et al. RSRNeT: a novel multi-modal network framework for named entity recognition and relation extraction
Girdhar et al. STRAS: A Semantic Textual-Cues Leveraged Rule-Based Approach for Article Separation in Historical Newspapers
Feng et al. A CNN-BiLSTM algorithm for Weibo emotion classification with attention mechanism
Meng et al. Sarcasm detection based on BERT and attention mechanism
CN115391522A (en) Text topic modeling method and system based on social platform metadata
Liu et al. Aspect sentiment mining of short bullet screen comments from online TV series
Wadawadagi et al. A multi-layer approach to opinion polarity classification using augmented semantic tree kernels
Yang et al. Amqan: Adaptive multi-attention question-answer networks for answer selection
Qian et al. Improved Hierarchical Attention Networks for Cyberbullying Detection via Social Media Data