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464 results on '"Agarwal, Basant"'

1. Code-mixed Sentiment and Hate-speech Prediction

Author

Yadav, Anjali, Garg, Tanya, Klemen, Matej, Ulcar, Matej, Agarwal, Basant, and Sikonja, Marko Robnik

Subjects
Computer Science - Computation and Language
Abstract

Code-mixed discourse combines multiple languages in a single text. It is commonly used in informal discourse in countries with several official languages, but also in many other countries in combination with English or neighboring languages. As recently large language models have dominated most natural language processing tasks, we investigated their performance in code-mixed settings for relevant tasks. We first created four new bilingual pre-trained masked language models for English-Hindi and English-Slovene languages, specifically aimed to support informal language. Then we performed an evaluation of monolingual, bilingual, few-lingual, and massively multilingual models on several languages, using two tasks that frequently contain code-mixed text, in particular, sentiment analysis and offensive language detection in social media texts. The results show that the most successful classifiers are fine-tuned bilingual models and multilingual models, specialized for social media texts, followed by non-specialized massively multilingual and monolingual models, while huge generative models are not competitive. For our affective problems, the models mostly perform slightly better on code-mixed data compared to non-code-mixed data.

Published
2024

5. Noise Filtering Algorithm Based on Machine Learning for Identification of Ground Hitting Photons in Jaipur City

Author

Sadhwani, Tushar, Pareek, Himanshu, Harjule, Priyanka, Rao, S. S., Agarwal, Basant, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello Coello, Carlos A., editor, and Bansal, Jagdish C., editor

Published
2024
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6. Silicosis Detection Using Extended Transfer Learning Model

Author

Sharma, Gulshan Kumar, Harjule, Priyanka, Agarwal, Basant, Kumar, Rajesh, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Santosh, KC, editor, Makkar, Aaisha, editor, Conway, Myra, editor, Singh, Ashutosh K., editor, Vacavant, Antoine, editor, Abou el Kalam, Anas, editor, Bouguelia, Mohamed-Rafik, editor, and Hegadi, Ravindra, editor

Published
2024
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10. Tracking Peaceful Tractors on Social Media -- XAI-enabled analysis of Red Fort Riots 2021

Author

Agarwal, Ajay and Agarwal, Basant

Subjects
Computer Science - Social and Information Networks, Computer Science - Machine Learning
Abstract

On 26 January 2021, India witnessed a national embarrassment from the demographic least expected from - farmers. People across the nation watched in horror as a pseudo-patriotic mob of farmers stormed capital Delhi and vandalized the national pride- Red Fort. Investigations that followed the event revealed the existence of a social media trail that led to the likes of such an event. Consequently, it became essential and necessary to archive this trail for social media analysis - not only to understand the bread-crumbs that are dispersed across the trail but also to visualize the role played by misinformation and fake news in this event. In this paper, we propose the tractor2twitter dataset which contains around 0.05 million tweets that were posted before, during, and after this event. Also, we benchmark our dataset with an Explainable AI ML model for classification of each tweet into either of the three categories - disinformation, misinformation, and opinion.

Published
2021

11. Impact of Issued Loans on the Income of Self-help Group Women in Rajasthan

Author

Pooja, Harjule, Priyanka, Agarwal, Basant, Nayak, Sandesh, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Fong, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2023
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12. Dysgraphia Detection Using Machine Learning-Based Techniques: A Survey

Author

Agarwal, Basant, Jain, Sonal, Bansal, Priyal, Shrivastava, Sanatan, Mohan, Navyug, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Rathore, Vijay Singh, editor, Tavares, João Manuel R. S., editor, Piuri, Vincenzo, editor, and Surendiran, B., editor

Published
2023
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14. Game-Based Learning System for Improvising Student’s Learning Effectively: A Survey

Author

Monish, E. S., Sharma, Ankit, Agarwal, Basant, Jain, Sonal, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Balas, Valentina E., editor, Sinha, G. R., editor, Agarwal, Basant, editor, Sharma, Tarun Kumar, editor, Dadheech, Pankaj, editor, and Mahrishi, Mehul, editor

Published
2022
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20. Understanding the Role of Feature Engineering in Fake News Detection

Author

Agarwal, Ajay, Agarwal, Basant, Harjule, Priyanka, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kumar, Rajesh, editor, Ahn, Chang Wook, editor, Sharma, Tarun K., editor, Verma, Om Prakash, editor, and Agarwal, Anand, editor

Published
2022
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23. A Deep Network Model for Paraphrase Detection in Short Text Messages

Author

Agarwal, Basant, Ramampiaro, Heri, Langseth, Helge, and Ruocco, Massimiliano

Subjects
Computer Science - Information Retrieval, Computer Science - Artificial Intelligence, Computer Science - Computation and Language
Abstract

This paper is concerned with paraphrase detection. The ability to detect similar sentences written in natural language is crucial for several applications, such as text mining, text summarization, plagiarism detection, authorship authentication and question answering. Given two sentences, the objective is to detect whether they are semantically identical. An important insight from this work is that existing paraphrase systems perform well when applied on clean texts, but they do not necessarily deliver good performance against noisy texts. Challenges with paraphrase detection on user generated short texts, such as Twitter, include language irregularity and noise. To cope with these challenges, we propose a novel deep neural network-based approach that relies on coarse-grained sentence modeling using a convolutional neural network and a long short-term memory model, combined with a specific fine-grained word-level similarity matching model. Our experimental results show that the proposed approach outperforms existing state-of-the-art approaches on user-generated noisy social media data, such as Twitter texts, and achieves highly competitive performance on a cleaner corpus.

Published
2017
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28. Characterization Techniques and Evolution of Natural Polymer Nanofiber Composites (NPNFCs): An Extensive Study

Author

Jeevan Rao, H., Singh, S., Janaki Ramulu, P., Agarwal, Basant K., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Sharma, Bhupendra Prakash, editor, Rao, G. Srinivasa, editor, Gupta, Sumit, editor, Gupta, Pallav, editor, and Prasad, Anamika, editor

Published
2021
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29. Modelling and Simulation of Evaporation on Porous Surface

Author

Prakash, Jyoti, Sikarwar, Basant Singh, Agarwal, Basant Kumar, Kumar, Rajesh, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Sikarwar, Basant Singh, editor, Sundén, Bengt, editor, and Wang, Qiuwang, editor

Published
2021
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31. Detection and Analysis of Life Style based Diseases in Early Phase of Life: A Survey

Author

Kunekar, Pankaj Ramakant, Gupta, Mukesh, Agarwal, Basant, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Somani, Arun K., editor, Ramakrishna, Seeram, editor, Chaudhary, Anil, editor, Choudhary, Chothmal, editor, and Agarwal, Basant, editor

Published
2019
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35. Preface

Author

Roy, Sudipta, primary, Goyal, Lalit Mohan, additional, Balas, Valentina E., additional, Agarwal, Basant, additional, and Mittal, Mamta, additional

Published
2022
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40. The COVID-19 Outbreak

Author

Kumar, Sushant, primary, Tiwari, Vinita, additional, Agarwal, Basant, additional, and Jayanti, Jagannath, additional

Published
2021
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42. Icon Based Information Retrieval and Disease Identification in Agriculture

Author

Mittal, Namita, Agarwal, Basant, Gupta, Ajay, and Madhur, Hemant

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computers and Society, Computer Science - Information Retrieval
Abstract

Recent developments in the ICT industry in past few decades has enabled the quick and easy access to the information available on the internet. But, digital literacy is the pre-requisite for its use. The main purpose of this paper is to provide an interface for digitally illiterate users, especially farmers to efficiently and effectively retrieve information through Internet. In addition, to enable the farmers to identify the disease in their crop, its cause and symptoms using digital image processing and pattern recognition instantly without waiting for an expert to visit the farms and identify the disease., Comment: Iconic Interface, Image Processing, Pattern Recognition, Data Mining, Information Retrieval

Published
2014

50. Literature Survey

Author

Agarwal, Basant, Mittal, Namita, Hussain, Amir, Series editor, Cambria, Erik, Series editor, Agarwal, Basant, and Mittal, Namita

Published
2016
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