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A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges
Extremism has grown as a global problem for society in recent years, especially after the
apparition of movements such as jihadism. This and other extremist groups have taken …
apparition of movements such as jihadism. This and other extremist groups have taken …
Bangla natural language processing: A comprehensive analysis of classical, machine learning, and deep learning-based methods
The Bangla language is the seventh most spoken language, with 265 million native and non-
native speakers worldwide. However, English is the predominant language for online …
native speakers worldwide. However, English is the predominant language for online …
Deep learning techniques applied for automatic sentence generation
S Boopathi - Promoting Diversity, Equity, and Inclusion in Language …, 2023 - igi-global.com
Automatic sentence generation is an important problem in natural language processing that
has many applications, including language translation, summarization, and chatbots. Deep …
has many applications, including language translation, summarization, and chatbots. Deep …
Study on Sentence and Question Formation Using Deep Learning Techniques
Natural language techniques require less personal information to communicate between
computers and people. Generative models can create text for machine translation …
computers and people. Generative models can create text for machine translation …
Tackling cyber-aggression: Identification and fine-grained categorization of aggressive texts on social media using weighted ensemble of transformers
The pervasiveness of aggressive content in social media has become a serious concern for
government organizations and tech companies because of its pernicious societal effects. In …
government organizations and tech companies because of its pernicious societal effects. In …
L-boost: Identifying offensive texts from social media post in bengali
Due to the significant increase in Internet activity since the COVID-19 epidemic, many
informal, unstructured, offensive, and even misspelled textual content has been used for …
informal, unstructured, offensive, and even misspelled textual content has been used for …
Arabic text detection using rough set theory: Designing a novel approach
The linguistics related research and particularly, sentiment analysis using data-driven
approaches, has been growing in recent years. However, the large number of users and …
approaches, has been growing in recent years. However, the large number of users and …
Classification of textual sentiment using ensemble technique
In recent years, the widespread use of the Internet has resulted in a revolutionary way for
people to share their feelings or sentiment on blogs, social media, e-commerce sites, and …
people to share their feelings or sentiment on blogs, social media, e-commerce sites, and …
Semantic clustering and transfer learning in social media texts authorship attribution
This paper is the fourth part of a research series that focuses on determining the authorship
of Russian-language texts by analyzing short social media comments, including those from …
of Russian-language texts by analyzing short social media comments, including those from …
Hate speech detection in asian languages: a survey
LK Dhanya, K Balakrishnan - 2021 international conference on …, 2021 - ieeexplore.ieee.org
In this study, we present a language-based survey of hate speech detection in Asian
languages. The motivation of this survey is to encourage the development of an automated …
languages. The motivation of this survey is to encourage the development of an automated …