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Academic plagiarism detection: a systematic literature review
This article summarizes the research on computational methods to detect academic
plagiarism by systematically reviewing 239 research papers published between 2013 and …
plagiarism by systematically reviewing 239 research papers published between 2013 and …
Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey
The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …
challenging to accurately discover and track exciting events, as well as their evolution and …
Arabic text classification using deep learning models
Text classification or categorization is the process of automatically tagging a textual
document with most relevant labels or categories. When the number of labels is restricted to …
document with most relevant labels or categories. When the number of labels is restricted to …
From citizens to government policy-makers: Social media data analysis
People are more and more using social media to express themselves about the different
services that their governments are delivering. They can either provide positive or negative …
services that their governments are delivering. They can either provide positive or negative …
Attention-based long short-term memory network using sentiment lexicon embedding for aspect-level sentiment analysis in Korean
Although deep learning breakthroughs in NLP are based on learning distributed word
representations by neural language models, these methods suffer from a classic drawback …
representations by neural language models, these methods suffer from a classic drawback …
Does the review deserve more helpfulness when its title resembles the content? Locating helpful reviews by text mining
Online review helpfulness has always sparked a heated discussion among academics and
practitioners. Despite the fact that research has extensively examined the impacts of review …
practitioners. Despite the fact that research has extensively examined the impacts of review …
Short-text semantic similarity (stss): Techniques, challenges and future perspectives
In natural language processing, short-text semantic similarity (STSS) is a very prominent
field. It has a significant impact on a broad range of applications, such as question …
field. It has a significant impact on a broad range of applications, such as question …
A deep network model for paraphrase detection in short text messages
This paper is concerned with paraphrase detection, ie, identifying sentences that are
semantically identical. The ability to detect similar sentences written in natural language is …
semantically identical. The ability to detect similar sentences written in natural language is …
Paraphrase identification with deep learning: A review of datasets and methods
The rapid progress of Natural Language Processing (NLP) technologies has led to the
widespread availability and effectiveness of text generation tools such as ChatGPT and …
widespread availability and effectiveness of text generation tools such as ChatGPT and …
Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media
This paper presents a comprehensive evaluation of data pre-processing and word
embedding techniques in the context of Arabic document classification in the domain of …
embedding techniques in the context of Arabic document classification in the domain of …