Survey on supervised machine learning techniques for automatic text classification
AI Kadhim - Artificial intelligence review, 2019 - Springer
Supervised machine learning studies are gaining more significant recently because of the
availability of the increasing number of the electronic documents from different resources …
availability of the increasing number of the electronic documents from different resources …
Demystifying the role of natural language processing (NLP) in smart city applications: background, motivation, recent advances, and future research directions
Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the
people by aiding in fast urbanization and resource management through sustainable and …
people by aiding in fast urbanization and resource management through sustainable and …
[HTML][HTML] Multi-class sentiment classification on Bengali social media comments using machine learning
Abstract Multi-class Sentiment Analysis (SA) is an important field of computational linguistics
that extracts multiple opinions expressed in a text using NLP and text-mining techniques …
that extracts multiple opinions expressed in a text using NLP and text-mining techniques …
A survey on deep learning for patent analysis
Patent document collections are an immense source of knowledge for research and
innovation communities worldwide. The rapid growth of the number of patent documents …
innovation communities worldwide. The rapid growth of the number of patent documents …
PatentNet: multi-label classification of patent documents using deep learning based language understanding
Patent classification is an expensive and time-consuming task that has conventionally been
performed by domain experts. However, the increase in the number of filed patents and the …
performed by domain experts. However, the increase in the number of filed patents and the …
A review of text corpus-based tourism big data mining
With the massive growth of the Internet, text data has become one of the main formats of
tourism big data. As an effective expression means of tourists' opinions, text mining of such …
tourism big data. As an effective expression means of tourists' opinions, text mining of such …
Text mining of accident reports using semi-supervised keyword extraction and topic modeling
A Ahadh, GV Binish, R Srinivasan - Process safety and environmental …, 2021 - Elsevier
Learning from past incidents is critical to achieving and maintaining high process safety
performance. Accident and incident records provide one way for learning; however, these …
performance. Accident and incident records provide one way for learning; however, these …
Research on patent text classification based on word2vec and LSTM
L **ao, G Wang, Y Zuo - 2018 11th International Symposium on …, 2018 - ieeexplore.ieee.org
In order to efficiently classify patent texts in the security field, a patent text classification
model based on Word2Vec and Long-short term memory (LSTM) was established …
model based on Word2Vec and Long-short term memory (LSTM) was established …
Exploring new digital therapeutics technologies for psychiatric disorders using BERTopic and PatentSBERTa
Abstract Coronavirus disease 2019 (COVID-19) has accelerated the growth of the digital
therapeutics (DTx) market; therefore, development strategies for new DTx products are …
therapeutics (DTx) market; therefore, development strategies for new DTx products are …
La-hcn: label-based attention for hierarchical multi-label text classification neural network
Hierarchical multi-label text classification (HMTC) has been gaining popularity in recent
years thanks to its applicability to a plethora of real-world applications. The existing HMTC …
years thanks to its applicability to a plethora of real-world applications. The existing HMTC …