A Contextual Query Expansion Model using BERT Based Deep Neural Embeddings

D Vishwakarma, S Kumar - 2023 6th International Conference …, 2023 - ieeexplore.ieee.org
The amount of information available on the internet is growing exponentially. The majority of
this information is ambiguous by nature, and information retrieval (IR) systems typically …

A Comparison of Machine Learning Algorithms and Transformer-based Methods for Multiclass Sentiment Analysis on Twitter

A Singh, S Kumar - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
The growing number of tweets being produced on Twitter and other social media platforms
has made sentiment analysis a crucial task in comprehending individuals' viewpoints and …

Ontology-based soft computing and machine learning model for efficient retrieval

SK Anand, S Kumar - Knowledge and Information Systems, 2024 - Springer
Unstructured and unorganized data always degrade the performance of search techniques
and produce irrelevant results in response to the query as well as decrease the speed of …

Comparative Analysis and Optimization of Spam Filtration Techniques Using Natural Language Processing

AK Mehta, S Kumar - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Spam emails, messages, and content remain a persistent nuisance in the digital landscape,
demanding effective and efficient classification methods. This paper presents an exploration …

Performance Evaluation of Text Document Using Machine Learning Models for Information Retrieval

S Chowdhury, S Kumar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Text mining is thought to have a high commercial potential due to the significant amounts of
unstructured text data produced on the Internet. The practice of obtaining previously …