An empirical survey on long document summarization: Datasets, models, and metrics
Long documents such as academic articles and business reports have been the standard
format to detail out important issues and complicated subjects that require extra attention. An …
format to detail out important issues and complicated subjects that require extra attention. An …
A comprehensive survey for automatic text summarization: techniques, approaches and perspectives
The enormous quantity of text makes it challenging for users to obtain the key information
and knowledge. Automatic text summarization can alleviate this problem by providing …
and knowledge. Automatic text summarization can alleviate this problem by providing …
Survey of text document summarization based on ensemble topic vector clustering model
G Bharathi Mohan, R Prasanna Kumar - IoT Based Control Networks and …, 2022 - Springer
Text document analysis has recently emerged as a promising strategy in content
summarization domain. The analysis can be carried out in two stages: Text abstraction, the …
summarization domain. The analysis can be carried out in two stages: Text abstraction, the …
A voice controlled smart home automation system using artificial intelligent and internet of things
MA Torad, B Bouallegue… - … Electronics and Control), 2022 - telkomnika.uad.ac.id
The objective of this work is to take a step further in this direction by incorporating voice
control and artificial intelligence (AI) into internet of things (IoT)-based smart home systems …
control and artificial intelligence (AI) into internet of things (IoT)-based smart home systems …
Natural language processing for analyzing online customer reviews: A survey, taxonomy, and open research challenges
In recent years, e-commerce platforms have become popular and transformed the way
people buy and sell goods. People are rapidly adopting Internet shopping due to the …
people buy and sell goods. People are rapidly adopting Internet shopping due to the …
ATSumm: auxiliary information enhanced approach for abstractive disaster tweet summarization with sparse training data
The abundance of situational information on Twitter poses a challenge for users to manually
discern vital and relevant information during disasters. A concise and human-interpretable …
discern vital and relevant information during disasters. A concise and human-interpretable …
A novel technique for user decision prediction and assistance using machine learning and NLP: A model to transform the E-commerce system
Rapid developments in the usage of Internet enabled the need of predictive analytics and
assistance to understand the behavior of buyers and sellers on e-commerce platform. Online …
assistance to understand the behavior of buyers and sellers on e-commerce platform. Online …
A Secure and Privacy-Preserving Blockchain-Based XAI-Justice System
Pursuing “intelligent justice” necessitates an impartial, productive, and technologically
driven methodology for judicial determinations. This scholarly composition proposes a …
driven methodology for judicial determinations. This scholarly composition proposes a …
[HTML][HTML] PRDECT-ID: Indonesian product reviews dataset for emotions classification tasks
Recognizing emotions is vital in communication. Emotions convey additional meanings to
the communication process. Nowadays, people can communicate their emotions on many …
the communication process. Nowadays, people can communicate their emotions on many …
A systematic literature review of deep learning-based text summarization: Techniques, input representation, training strategies, mechanisms, datasets, evaluation, and …
Abstract Automatic Text Summarization (ATS) involves estimating the salience of information
and creating coherent summaries that include all relevant and important information from the …
and creating coherent summaries that include all relevant and important information from the …