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Found 8 papers, 0 papers with code
Combining Word Vector Technique and Clustering Algorithm for Credit Card Merchant Detection
Extracting relevant user behaviors through customer’s transaction description is one of the ways to collect customer information.
A Dimensional Valence-Arousal-Irony Dataset for Chinese Sentence and Context
This paper creates the extended NTU irony corpus, which includes valence, arousal and irony intensities on sentence-level; and valence and arousal intensities on context-level, called Chinese Dimensional Valence-Arousal-Irony (CDVAI) dataset.
SCU-NLP at ROCLING 2022 Shared Task: Experiment and Error Analysis of Biomedical Entity Detection Model
Named entity recognition generally refers to entities with specific meanings in unstructured text, including names of people, places, organizations, dates, times, quantities, proper nouns and other words.
A Corpus for Dimensional Sentiment Classification on YouTube Streaming Service
To evaluate the performance of different classifiers, we experiment with deep learning-based, machine learning-based, and BERT-based classifiers to automatically detect three sentiment indicators of an audience’s comments.
Confiscation Detection of Criminal Judgment Using Text Classification Approach
In addition to assisting legislators in formulating laws, it can also provide other people with an understanding of the actual operation of the confiscation system.
SCUDS at ROCLING-2021 Shared Task: Using Pretrained Model for Dimensional Sentiment Analysis Based on Sample Expansion Method
Sentiment analysis has become a popular research issue in recent years, especially on educational texts which is an important problem.
