A hybrid frequency based, Syntax, and Conditional Random Field Method for Implicit and Explicit Aspect Extraction
Aspect extraction is the most important factor influencing the quality of Aspect-Based
Sentiment Analysis (ABSA). Aspect extractions are divided into three approaches …
Sentiment Analysis (ABSA). Aspect extractions are divided into three approaches …
Feature Selection Technique Model for Forest and Land Fire Data Sentiment Analysis: Comparison of SSA, PSO, and ALO
DA Kristiyanti, IS Sitanggang… - 2023 7th International …, 2023 - ieeexplore.ieee.org
The forest and land fires in Indonesia caused a trending topic on social media, namely
Twitter, especially in 2019 with 316,782 tweets. Mining it with a sentiment analysis approach …
Twitter, especially in 2019 with 316,782 tweets. Mining it with a sentiment analysis approach …
Performance Insights of Attention-Free Language Models in Sentiment Analysis: A Case Study for E-Commerce Platforms in Vietnam
Transformer-based models have gained significant development over the last few years due
to their efficiency and parallelizability in training on various data domains. However, one …
to their efficiency and parallelizability in training on various data domains. However, one …
[PDF][PDF] Differences in Applications of Various Neural Network Algorithms for Thermal Error Compensation.
TH Hsieh, HY Lai, YH Chou, TH Wu - Sensors & Materials, 2024 - sensors.myu-group.co.jp
In traditional machine tool thermal error detection, eddy current or capacitive probes are
mainly used. We propose a new data sensing architecture consisting of two main …
mainly used. We propose a new data sensing architecture consisting of two main …
Performance Insights of Attention-Free Language Models in Sentiment Analysis: A Case Study for E-Commerce Platforms
NQ Viet, NN Quang, N King, DNH Thanh - … : Proceedings of ICICCT … - books.google.com
Transformer-based models have gained significant development over the last few years due
to their efficiency and parallelizability in training on various data domains. However, one …
to their efficiency and parallelizability in training on various data domains. However, one …