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Department of Computer Science and Information Systems: Recent submissions

Now showing items 1-20 of 954

Composite Sequential Modeling for Identifying Fake Reviews

Sharma, Yashvardhan (De Gruyter, 2018-04)

This paper presents a comprehensive analysis and comparison of various proposed sequential models based on different deep networks such as the convolutional neural network, long short-term memory, and recurrent neural ...
Neural Network-Based Architecture for Sentiment Analysis in Indian Languages

Sharma, Yashvardhan (De Gruyter, 2018-06)

Sentiment analysis refers to determining the polarity of the opinions represented by text. The paper proposes an approach to determine the sentiments of tweets in one of the Indian languages (Hindi, Bengali, and Tamil). ...
Language Identification and Context-based Analysis of Code-switching Behaviors in Social Media Discussions

Sharma, Yashvardhan (IEEE, 2019)

Social media discussions see the participation of multilingual individuals: who tend to utilize alternate languages in a single post (code-switching) for effective communication in a discussion. This paper attempts to ...
Deep Extractive Text Summarization

Sharma, Yashvardhan (Elsevier, 2020)

With introduction of deep learning techniques their has been an increase in intelligent classification of text in many applications. Advances in automatic text summarization using deep learning technique is prime focus of ...
Deep Text Summarization using Generative Adversarial Networks in Indian Languagess

Sharma, Yashvardhan (Elsevier, 2020)

Abstractive Text Summarization (ATS) is a task of capturing information from different sources and condense it such that, content is represented well and there is no loss of information. It has been an active area of ...
Bits2020@ Dravidian-CodeMix-FIRE2020: Sub-Word Level Sentiment Analysis of Dravidian Code Mixed Data

Sharma, Yashvardhan (CEUR-WS, 2020)

This paper presents the methodologies implemented while classifying Dravidian code-mixed comments according to their polarity in the evaluation of the track ‘Sentiment Analysis for Davidian Languages in Code-Mixed Text’ ...
Character aware models with similarity learning for metaphor detection

Sharma, Yashvardhan (Association for Computational Linguistics (ACL), 2020)

Recent work on automatic sequential metaphor detection has involved recurrent neural networks initialized with different pre-trained word embeddings and which are sometimes combined with hand engineered features. To capture ...
Siva@ HASOC-Dravidian-CodeMix-FIRE-2020: Multilingual Offensive Speech Detection in Code-mixed and Romanized Text

Sharma, Yashvardhan (CEUR-WS, 2020)

Detecting and eliminating offensive and hate speech in social media content is an important concern as hate and offensive speech can have serious consequences in society ranging from ill-education among youth to hate crimes. ...
Combating Online Hate: A Comparative Study on Identification of Hate Speech and Offensive Content in Social Media Text

Sharma, Yashvardhan (IEEE, 2020)

This paper addresses the important issue of rising hate and offensive comments against individuals or communities on social media. Such behaviour has become pervasive in social media where people are easily able to vent ...
Text-Convolutional Neural Networks for Fake News Detection in Tweets

Sharma, Yashvardhan (Springer, 2020-09)

With the widespread use of online social networking websites, user-generated stories and social network platform have become critical in news propagation. The Web portals are being used to mislead users for political gains. ...
Open machine translation for low resource South American languages (AmericasNLP 2021 shared task contribution)

Sharma, Yashvardhan (Association for Computational Linguistics (ACL), 2021)

This paper describes the team ("Tamalli")’s submission to AmericasNLP2021 shared task on Open Machine Translation for low resource South American languages. Our goal was to evaluate different Machine Translation ...
Stacked Embeddings and Multiple Fine-Tuned XLM-RoBERTa Models for Enhanced Hostility Identification

Sharma, Yashvardhan (Springer, 2021-04)

Designing effective automated techniques for proper identification and categorisation of hostile speech is essential, especially for low resource Indian languages without established datasets. A majority of Indians use ...
A Three-Fold Machine Learning Approach for Detection of COVID-19 from Audio Data

Sharma, Yashvardhan (Springer, 2021-09)

Most work on leveraging machine learning techniques has been focused on using chest CT scans or X-ray images. However, this approach requires special machinery, and is not very scalable. Using audio data to perform this ...
Offensive Language Classification of Code-Mixed Tamil with Keras

Sharma, Yashvardhan (CEUR-WS, 2021)

This paper presents the method adopted for completing Task 1 of Dravidian-CodeMix-HASOC (Hate Speech and Offensive Content Identification in English and Indo-European Languages) Shared Task proposed by the Forum of ...
Detection of Threat Records by Analyzing the Tweets in Urdu Language Exploring Deep Learning Transformer - Based Models

Sharma, Yashvardhan (CEUR-WS, 2021)

As humans, we express sadness, anger, happiness, frustration, bullying, etc., in both physical and virtual worlds. In the virtual world, i.e., social media, we use textual ways to express ourselves. Due to the lack of ...
Applying Transfer Learning using BERT-Based Models for Hate Speech Detection

Sharma, Yashvardhan; Chauhan, Gajendra Singh (CEUR-WS, 2021)

Hateful and Offensive speech is rising along with social media. This issue has motivated researchers to devise novel approaches which perform better than the traditional algorithms. This paper presents the methods adopted ...
Ranking based Question Answering System with a Web and Mobile Application

Sharma, Yashvardhan (IEEE, 2021)

This work attempts to comprehend the fundamental working of the deep learning models that have been proposed till now in order to arrive at an inventive and accurate ensemble model for handling questions which are either ...
Towards Offensive Language Identification for Dravidian Languages

Sharma, Yashvardhan (Association for Computational Linguistics, 2021)

Offensive speech identification in countries like India poses several challenges due to the usage of code-mixed and romanized variants of multiple languages by the users in their posts on social media. The challenge of ...
Sentiment Analysis of Dravidian Code Mixed Data

Sharma, Yashvardhan (Association for Computational Linguistics, 2021)

This paper presents the methodologies implemented while classifying Dravidian code-mixed comments according to their polarity. With datasets of code-mixed Tamil and Malayalam available, three methods are proposed - a ...
Irony Detection in Non-English Tweets

Sharma, Yashvardhan (IEEE, 2021)

Sentiment analysis is the interpretation and classification of emotions conveyed by text data. While there have been many attempts to classify the sentiment of a given text, there have been few models that can do the same ...

Now showing items 1-20 of 954

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