Hatred and trolling detection transliteration framework using hierarchical LSTM in code-mixed social media text
The paper describes the usage of self-learning Hierarchical LSTM technique for classifying
hatred and trolling contents in social media code-mixed data. The Hierarchical LSTM-based …
hatred and trolling contents in social media code-mixed data. The Hierarchical LSTM-based …
Social profiling: A review, taxonomy, and challenges
Social media has taken an important place in the routine life of people. Every single second,
users from all over the world are sharing interests, emotions, and other useful information …
users from all over the world are sharing interests, emotions, and other useful information …
Language identification framework in code-mixed social media text based on quantum LSTM—the word belongs to which language?
Machine learning (ML) architectures based on neural model have garnered considerable
attention in the field of language classification. Code-mixing is a common phenomenon on …
attention in the field of language classification. Code-mixing is a common phenomenon on …
Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems
J Misztal-Radecka, B Indurkhya… - User Modeling and User …, 2021 - Springer
The cold-start scenario is a critical problem for recommendation systems, especially in
dynamically changing domains such as online news services. In this research, we aim at …
dynamically changing domains such as online news services. In this research, we aim at …
Exploring convolutional neural networks and topic models for user profiling from drug reviews
E Tutubalina, S Nikolenko - Multimedia Tools and Applications, 2018 - Springer
Pharmacovigilance, and generally applications of natural language processing models to
healthcare, have attracted growing attention over the recent years. In particular, drug …
healthcare, have attracted growing attention over the recent years. In particular, drug …
Character embedding for language identification in Hindi-English code-mixed social media text
PV Veena, M Anand Kumar, KP Soman - Computación y Sistemas, 2018 - scielo.org.mx
Social media platforms are now widely used by the people to express their opinion or
interest. The language used by the users in social media earlier was purely English. Code …
interest. The language used by the users in social media earlier was purely English. Code …
Integrating machine learning and evidential reasoning for user profiling and recommendation
User profiles representing users' preferences and interests play an important role in many
applications of personalized recommendation. With the rapid growth of social platforms …
applications of personalized recommendation. With the rapid growth of social platforms …
Artificial immune systems-based classification model for code-mixed social media data
The main focus of the paper is to propose an artificial immune systems-based classification
model for code-mixed social media data. The artificial immune systems are computational …
model for code-mixed social media data. The artificial immune systems are computational …
Tran-Switch: A transfer learning approach for sentence level cross-genre author profiling on code-switched English–RomanUrdu Text
Cross-genre author profiling aims to build generalized models for predicting profile traits of
authors that can be helpful across different text genres for computer forensics, marketing …
authors that can be helpful across different text genres for computer forensics, marketing …
An effective cybernated word embedding system for analysis and language identification in code-mixed social media text
The language used by the users in social media nowadays is Code-mixed text, ie, mixing of
two or more languages. This paper describes the application of the code mixed index in …
two or more languages. This paper describes the application of the code mixed index in …