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Citation count prediction using weighted latent semantic analysis (wlsa) and three-layer-deep-learning paradigm: a meta-heuristic approach
Citation count prediction is a subfield of bibliometrics, which involves using mathematical and statistical models to predict the quantity of...
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Development of a Chinese Tourism Technical Word List Based on Corpus Analysis
“Chinese + Tourism” is an important subfield of the current research area of “Chinese +” vocational education. This article focuses on the vocational...
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Exploiting bilingual lexicons to improve multilingual embedding-based document and sentence alignment for low-resource languages
Neural machine translation systems trained on low-resource languages produce sub-optimal results due to the scarcity of large parallel datasets. To...
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Big data analysis of mental health intervention effects in student-athletes: based on data mining techniques and affective computing algorithms
Student-athletes suffer specific pressures and obstacles in regard to their studies and sports performance, making mental health concerns a major...
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Automating petition classification in Brazil’s legal system: a two-step deep learning approach
Automated classification of legal documents has been the subject of extensive research in recent years. However, this is still a challenging task for...
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Comparative Analysis of NLP Text Embedding Techniques with Neural Network Layered Architecture on Online Movie Reviews
In NLP world, there is a need to convert the text data into numerical form in a smart way of text embedding with the machine learning architecture....
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Document Pre-processing
Medical sentiment analysis can be considered as a two-step process comprising topic detection or health mention classification and the actual...
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CovSumm: an unsupervised transformer-cum-graph-based hybrid document summarization model for CORD-19
The number of research articles published on COVID-19 has dramatically increased since the outbreak of the pandemic in November 2019. This absurd...
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Enabling Hidden Frequency Keyword-Based Auditing on Distributed Architectures for a Smart Government
Public auditing checks the integrity of outsourced data via random sampling and verifying sample data blocks. In practice, however, users do not pay...
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Enhanced detection of fabricated news through sentiment analysis and text feature extraction
Amidst the rapid dissemination of news, preventing misleading information is crucial. Using sentiment score, count vectorization, Term frequency and...
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Sentiment analysis of movie reviews based on NB approaches using TF–IDF and count vectorizer
Movies have been important in our lives for many years. Movies provide entertainment, inspire, educate, and offer an escape from reality. Movie...
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Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering
The classification of imbalanced datasets is a prominent task in text mining and machine learning. The number of samples in each class is not...
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Detecting review fraud using metaheuristic graph neural networks
Although online reviews play a critical role in sha** consumer behavior and establishing institutional trust, this reliance on online reviews has...
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A Hybrid Framework for Implementing Modified K-Means Clustering Algorithm for Hindi Word Sense Disambiguation
In this paper, we have proposed a new method for the implementation of an unsupervised K-Means clustering algorithm for Word Sense Disambiguation in...
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A novel approach to perform context‐based automatic spoken document retrieval of political speeches based on wavelet tree indexing
Spoken document retrieval for a specific context is a very trending and interesting area of research. It makes it convenient for users to search...
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Web information extraction and fake news detection in twitter using optimized hybrid bi-gated deep learning network
In today's scenario, extracting information from websites is a challenging problem because of the increasing amount of information shared on the...
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Document vector embedding based extractive text summarization system for Hindi and English text
Nowadays, several automatic text summarization (ATS) methods have been proposed for resource-rich languages, such as English, Chinese. However,...
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An approach of a quantum-inspired document ranking algorithm by using feature selection methodology
The main goal of an information retrieval system (IR) is ranking. Several methodologies were adopted with the integration of computing and advanced...
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Relevance of Sentence Features for Multi-document Text Summarization Using Human-Written Reference Summaries
For multi-document text summarization, text features are fundamental because they determine the importance of each sentence from source documents....
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Multi-view multi-objective clustering-based framework for scientific document summarization using citation context
Due to the expanding rate of scientific publications, it has become a necessity to summarize scientific documents to allow researchers to keep track...
