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 …
[HTML][HTML] Exploring the frontiers of deep learning and natural language processing: A comprehensive overview of key challenges and emerging trends
In the recent past, more than 5 years or so, DL especially the large language models (LLMs)
has generated extensive studies out of a distinctly average downturn field of knowledge …
has generated extensive studies out of a distinctly average downturn field of knowledge …
A survey on classification techniques for opinion mining and sentiment analysis
Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …
Urdu sentiment analysis with deep learning methods
Although over 169 million people in the world are familiar with the Urdu language and a
large quantity of Urdu data is being generated on different social websites daily, very few …
large quantity of Urdu data is being generated on different social websites daily, very few …
Document-level text classification using single-layer multisize filters convolutional neural network
The rapid growth of electronic documents are causing problems like unstructured data that
need more time and effort to search a relevant document. Text Document Classification …
need more time and effort to search a relevant document. Text Document Classification …
Automatic detection of offensive language for urdu and roman urdu
In recent years, unethical behavior in the cyber-environment has been revealed. The
presence of offensive language on social media platforms and automatic detection of such …
presence of offensive language on social media platforms and automatic detection of such …
A survey on the state-of-the-art machine learning models in the context of NLP
KJS inside pages October 2016.indd Page 1 Kuwait J. Sci. 43 (4) pp. 95-113, 2016 A survey on
the state-of-the-art machine learning models in the context of NLP Wahab Khan1,*, Ali Daud2,1 …
the state-of-the-art machine learning models in the context of NLP Wahab Khan1,*, Ali Daud2,1 …
UrduDeepNet: offline handwritten Urdu character recognition using deep neural network
Handwritten Urdu character recognition system faces several challenges including the writer-
dependent variations and non-availability of benchmark databases for cursive writing …
dependent variations and non-availability of benchmark databases for cursive writing …
Abusive language detection from social media comments using conventional machine learning and deep learning approaches
With the increase in the culture of social media and netizen, every day, millions of comments
are posted on the uploaded posts. The use of abusive language in user comments has been …
are posted on the uploaded posts. The use of abusive language in user comments has been …
Hate speech detection in roman urdu
Hate speech is a specific type of controversial content that is widely legislated as a crime
that must be identified and blocked. However, due to the sheer volume and velocity of the …
that must be identified and blocked. However, due to the sheer volume and velocity of the …