Page: 1 2 3 4 5 6 7... 373
43 |
Task and language in Spanish–English narratives (Wofford et al., 2022) ...
|
|
|
|
BASE
|
|
Show details
|
|
44 |
Task and language in Spanish–English narratives (Wofford et al., 2022) ...
|
|
|
|
BASE
|
|
Show details
|
|
45 |
Measuring and Comparing Social Bias in Static and Contextual Word Embeddings
|
|
|
|
In: Dissertations (2022)
|
|
BASE
|
|
Show details
|
|
46 |
A Corpus-Based Sentence Classifier for Entity–Relationship Modelling
|
|
|
|
In: Electronics; Volume 11; Issue 6; Pages: 889 (2022)
|
|
BASE
|
|
Show details
|
|
47 |
A Quantum Language-Inspired Tree Structural Text Representation for Semantic Analysis
|
|
|
|
In: Mathematics; Volume 10; Issue 6; Pages: 914 (2022)
|
|
BASE
|
|
Show details
|
|
48 |
An Unsupervised Approach to Structuring and Analyzing Repetitive Semantic Structures in Free Text of Electronic Medical Records
|
|
|
|
In: Journal of Personalized Medicine; Volume 12; Issue 1; Pages: 25 (2022)
|
|
BASE
|
|
Show details
|
|
49 |
Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring
|
|
|
|
In: Applied Sciences; Volume 12; Issue 7; Pages: 3503 (2022)
|
|
BASE
|
|
Show details
|
|
50 |
Detection of Chinese Deceptive Reviews Based on Pre-Trained Language Model
|
|
|
|
In: Applied Sciences; Volume 12; Issue 7; Pages: 3338 (2022)
|
|
Abstract:
The advancement of the Internet has changed people’s ways of expressing and sharing their views with the world. Moreover, user-generated content has become a primary guide for customer purchasing decisions. Therefore, motivated by commercial interest, some sellers have started manipulating Internet ratings by writing false positive reviews to encourage the sale of their goods and writing false negative reviews to discredit competitors. These reviews are generally referred to as deceptive reviews. Deceptive reviews mislead customers in purchasing goods that are inconsistent with online information and thus obstruct fair competition among businesses. To protect the right of consumers and sellers, an effective method is required to automate the detection of misleading reviews. Previously developed methods of translating text into feature vectors usually fail to interpret polysemous words, which leads to such functions being obstructed. By using dynamic feature vectors, the present study developed several misleading review-detection models for the Chinese language. The developed models were then compared with the standard detection-efficiency models. The deceptive reviews collected from various online forums in Taiwan by previous studies were used to test the models. The results showed that the models proposed in this study can achieve 0.92 in terms of precision, 0.91 in terms of recall, and 0.91 in terms of F1-score. The improvement rate of our proposal is higher than 20%. Accordingly, we prove that our proposal demonstrated improved performance in detecting misleading reviews, and the models based on dynamic feature vectors were capable of more accurately capturing semantic terms than the conventional models based on the static feature vectors, thereby enhancing effectiveness.
|
|
Keyword:
BERT; deep learning; detection of deceptive reviews; language model; natural language processing
|
|
URL: https://doi.org/10.3390/app12073338
|
|
BASE
|
|
Hide details
|
|
51 |
Automated Customer Complaint Processing for Water Utilities Based on Natural Language Processing—Case Study of a Dutch Water Utility
|
|
|
|
In: Water; Volume 14; Issue 4; Pages: 674 (2022)
|
|
BASE
|
|
Show details
|
|
52 |
MLLP-VRAIN Spanish ASR Systems for the Albayzín-RTVE 2020 Speech-to-Text Challenge: Extension
|
|
|
|
In: Applied Sciences; Volume 12; Issue 2; Pages: 804 (2022)
|
|
BASE
|
|
Show details
|
|
53 |
Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages
|
|
|
|
In: Future Internet; Volume 14; Issue 3; Pages: 69 (2022)
|
|
BASE
|
|
Show details
|
|
54 |
Using Conceptual Recurrence and Consistency Metrics for Topic Segmentation in Debate
|
|
|
|
In: Applied Sciences; Volume 12; Issue 6; Pages: 2952 (2022)
|
|
BASE
|
|
Show details
|
|
55 |
Connecting Text Classification with Image Classification: A New Preprocessing Method for Implicit Sentiment Text Classification
|
|
|
|
In: Sensors; Volume 22; Issue 5; Pages: 1899 (2022)
|
|
BASE
|
|
Show details
|
|
56 |
Predicting Institution Outcomes for Inter Partes Review (IPR) Proceedings at the United States Patent Trial & Appeal Board by Deep Learning of Patent Owner Preliminary Response Briefs
|
|
|
|
In: Applied Sciences; Volume 12; Issue 7; Pages: 3656 (2022)
|
|
BASE
|
|
Show details
|
|
57 |
Analysis of the Effects of Lockdown on Staff and Students at Universities in Spain and Colombia Using Natural Language Processing Techniques
|
|
|
|
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 9; Pages: 5705 (2022)
|
|
BASE
|
|
Show details
|
|
58 |
FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning
|
|
|
|
In: Applied Sciences; Volume 12; Issue 6; Pages: 3130 (2022)
|
|
BASE
|
|
Show details
|
|
59 |
A Dynamic Attention and Multi-Strategy-Matching Neural Network Based on Bert for Chinese Rice-Related Answer Selection
|
|
|
|
In: Agriculture; Volume 12; Issue 2; Pages: 176 (2022)
|
|
BASE
|
|
Show details
|
|
60 |
Correcting Diacritics and Typos with a ByT5 Transformer Model
|
|
|
|
In: Applied Sciences; Volume 12; Issue 5; Pages: 2636 (2022)
|
|
BASE
|
|
Show details
|
|
Page: 1 2 3 4 5 6 7... 373
|
|