58 research outputs found
Hope Speech detection in under-resourced Kannada language
No full text@article{hande-etal-kanhope,
title = "Hope Speech detection in under-resourced Kannada language",
author = "Hande, Adeep and
Priyadharshini, Ruba and
Sampath, Anbukkarasi and
Thamburaj, Kingston Pal and
Chandran, Prabakaran and
Chakravarthi, Bharathi Raja ",
journal={SN Computer Science},
publisher={Springer}
}Numerous methods have been developed to monitor the spread of negativity in modern years by eliminating vulgar, offensive, and fierce comments from social media platforms. However, there are relatively lesser amounts of study that converges on embracing positivity, reinforcing supportive and reassuring content in online forums. Consequently, we propose creating an English-Kannda Hope speech dataset, KanHope and comparing several experiments to provide benchmarking for the dataset. The dataset consists of 6,176 user-generated comments in code mixed Kannada crawled from YouTube and manually labelled as bearing hope speech or not-hope speech. In addition, we introduce DC-BERT4HOPE, a dual-channel model that uses the English translation of KanHopeEDI for additional training to promote hope speech detection. The approach achieves a weighted F1-score of 0.756, bettering other models. Henceforth, KanHope aims to instigate research in Kannada while broadly promoting researchers to take a pragmatic approach towards online content that encourages, positive, and supportive
A new type of quaternionic frame in R-4
No full textWOS: 000473348100017In this paper, we obtain a new version of Serret-Frenet formulae for quaternionic curve in R-4 by using a method similar to the method given by Bharathi and Nagaraj and called it Type 2-Quaternionic Frame. Also, we give an application of this new type of the quaternionic frame by an example.Ahi Evran University Scientific Research Projects Coordination UnitAhi Evran University [EGT.A4.18.031]The author is supported by Ahi Evran University Scientific Research Projects Coordination Unit. Project Number: EGT.A4.18.031
A Dataset for Troll Classification of Tamil Memes
No full textSocial media are interactive platforms that facilitate the creation or sharing of information, ideas or other forms of expression among people. This exchange is not free from offensive, trolling or malicious contents targeting users or communities. One way of trolling is by making memes, which in most cases combines an image with a concept or catchphrase. The challenge of dealing with memes is that they are region-specific and their meaning is often obscured in humour or sarcasm. To facilitate the computational modelling of trolling in the memes for Indian languages, we created a meme dataset for Tamil (TamilMemes). We annotated and released the dataset containing suspected trolls and not-troll memes. In this paper, we use the a image classification to address the difficulties involved in the classification of troll memes with the existing methods. We found that the identification of a troll meme with such an image classifier is not feasible which has been corroborated with precision, recall and F1-score.
The internet has facilitated its user-base with a platform to communicate and express their views without any censorship. On the other hand, this freedom of expression or free speech can be abused by its user or a troll to demean an individual or a group. Demeaning people based on their gender, sexual orientation, religious believes or any other characteristics –trolling– could cause great distress in the online community. Hence, the content posted by a troll needs to be identified and dealt with before causing any more damage. Amongst all the forms of troll content, memes are most prevalent due to their popularity and ability to propagate across cultures. A troll uses a meme to demean, attack or offend its targetted audience. In this shared task, we provide a resource (TamilMemes) that could be used to train a system capable of identifying a troll meme in the Tamil language. In our TamilMemes dataset, each meme has been categorized into either a “troll” or a “not_troll” class. Along with the meme images, we also provided the Latin transcripted text from memes. We received 10 system submissions from the participants which were evaluated using the weighted average F1-score. The system with the weighted average F1-score of 0.55 secured the first rank.
@inproceedings{suryawanshi-etal-2020-tamil-meme,
title = "A Dataset for Troll Classification of {Tamil} Memes",
author = "Suryawanshi, Shardul and
Chakravarthi, Bharathi Raja and
Verma, Pranav and
Arcan, Mihael and
McCrae, John P and
Buitelaar, Paul",
booktitle = "Proceedings of the 5th Workshop on Indian Language Data Resource and Evaluation (WILDRE-5)",
month = May,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association (ELRA)"
}
@inproceedings{suryawanshi-chakravarthi-2021-findings,
title = "Findings of the Shared Task on Troll Meme Classification in {T}amil",
author = "Suryawanshi, Shardul and
Chakravarthi, Bharathi Raja",
booktitle = "Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages",
month = apr,
year = "2021",
address = "Kyiv",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2021.dravidianlangtech-1.16",
pages = "126--132",
abstract = "The internet has facilitated its user-base with a platform to communicate and express their views without any censorship. On the other hand, this freedom of expression or free speech can be abused by its user or a troll to demean an individual or a group. Demeaning people based on their gender, sexual orientation, religious believes or any other characteristics {--}trolling{--} could cause great distress in the online community. Hence, the content posted by a troll needs to be identified and dealt with before causing any more damage. Amongst all the forms of troll content, memes are most prevalent due to their popularity and ability to propagate across cultures. A troll uses a meme to demean, attack or offend its targetted audience. In this shared task, we provide a resource (TamilMemes) that could be used to train a system capable of identifying a troll meme in the Tamil language. In our TamilMemes dataset, each meme has been categorized into either a {``}troll{''} or a {``}not{\_}troll{''} class. Along with the meme images, we also provided the Latin transcripted text from memes. We received 10 system submissions from the participants which were evaluated using the weighted average F1-score. The system with the weighted average F1-score of 0.55 secured the first rank.",
Co-sputtering deposition of Cu doped SnS thin films for photovoltaic application: Phase stability, microstructure and optical properties
No full textFEMINISM IN BHARATI MUKHERJEE'S NOVEL JASMINE: A STRUGGLE FOR EMANCIPATION OF SELF
No full textFeminism is a movement that supports women across a wide range of concerns, including their sense of self, independence, and responsibility throughout fields particularly politics, economics, and family life. Feminism's rapid expansion around the world helped bring India's feminists into the limelight. Women nowadays are no longer passive observers; they are actively pursuing justice, freedom, and equality. Third-world feminist author Bharathi Mukherjee is preoccupied with the concerns and issues facing women in South Asia, especially India. This article analyze female protagonist, Jasmine, her struggle for independence, innate femininity, and defiance of patriarchy and the many ways in which she undergoes metamorphosis and ultimately resurrection as an undocumented immigrant in America
Solvothermal synthesis of SnS nanorods for thin film photovoltaics: Phase formation, optical and electrical properties
No full textHomology Modeling and Docking Studies on Lukocidin Lukd in Staphylococcus Aureus.
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Evaluation and ranking of researchers--Bh Index.
No full textEvaluation and ranking of every author is very crucial as it is widely used to evaluate the performance of the researcher. This article proposes a new method, called Bh-Index, to evaluate the researchers based on the publications and citations. The method is built on h-Index and only the h-core articles are taken into consideration. The method assigns value additions to those articles that receive significantly high citations in comparison to the h-Index of the researcher. It provides a wide range of values for a given h-Index and effective evaluation even for a short period. Use of Bh-Index along with the h-Index gives a powerful tool to evaluate the researchers
Interactive effect of Pesticides and Entomopathogens against Rhizopertha Dominica (Lesser Grain Borer)
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
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