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natural-language-processing

Hope Speech Detection

3260 papers • 126 benchmarks • 313 datasets

Detecting speech associated with positive, uplifting, promise, potential, support, reassurance, suggestions, or inspiration.

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in hope-speech-detection

Trend

Dataset

Best Model

Actions

HopeEDI

KanHope

Libraries

Use these libraries to find hope-speech-detection models and implementations

Datasets

HopeEDI

KanHope

Subtasks

Hope Speech Detection for English Hope Speech Detection for Tamil Hope Speech Detection for Malayalam

Most implemented papers

Hope Speech detection in under-resourced Kannada language

Bharathi Raja Chakravarthi, Adeep Hande, R. Priyadharshini, Anbukkarasi Sampath, K. Thamburaj, Prabakaran Chandran•Mon Aug 09 2021

An English-Kannada Hope speech dataset is created, KanHope is proposed, and DC-BERT4HOPE, a dual-channel model that uses the English translation of KanHope for additional training to promote hope speech detection is introduced.

Content

Introduction Benchmarks Datasets Subtasks Libraries Papers

Paper Graph

TeamUNCC@LT-EDI-EACL2021: Hope Speech Detection using Transfer Learning with Transformers

Erfan Al-Hossami, Samira Shaikh, Khyati Mahajan•Thu Dec 31 2020

The approach towards utilizing pre-trained models for the task of hope speech detection in English and the approach to fine-tuning XLM-RoBERTa for Hope Speech detection in Tamil and Malayalam, two low resource Indic languages are described.

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Hope Speech Detection on Social Media Platforms

Pasupuleti Chandana, Jagrut Nemade, Shubham Sharma, Sunil Saumya, Shankar Biradar•Sun Nov 13 2022

Various machine learning approaches are discussed to identify a sentence as Hope Speech, Non-Hope Speech, or a Neutral sentence to achieve better accuracy for Hope speech identification.

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IIITK@LT-EDI-EACL2021: Hope Speech Detection for Equality, Diversity, and Inclusion in Tamil , Malayalam and English

Bharathi Raja Chakravarthi, R. Priyadharshini, Sajeetha Thavareesan, N. Ghanghor, Rahul Ponnusamy, Prasanna Kumar Kumaresan•Thu Dec 31 2020

The IIITK’s team submissions to the hope speech detection for equality, diversity and inclusion in Dravidian languages shared task organized by LT-EDI 2021 workshop@EACL 2021 are described.

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Beyond Negativity: Re-Analysis and Follow-Up Experiments on Hope Speech Detection

Mohammad Aflah Khan, Neemesh Yadav, Diksha Sethi, Raghav Sahni•Tue May 09 2023

This study aims to find computationally efficient yet comparable/superior methods for hope speech detection by identifying messages that invoke positive emotions in people.

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NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner

E. Hossain, Omar Sharif, M. M. Hoque•Sat Feb 27 2021

This work proposes three distinct models to identify hope speech in English, Tamil and Malayalam language to serve this purpose and indicates that XLM-R outdoes all other techniques by gaining a weighted f_1-score.

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IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always hope in Transformers

Bharathi Raja Chakravarthi, Adeep Hande, R. Priyadharshini, Sajeetha Thavareesan, Karthik Puranik•Sun Apr 18 2021

This paper portrays the work for the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion at LT-EDI 2021- EACL 2021 and works with several transformer-based models to classify social media comments as hope speech or not hope speech in English, Malayalam, and Tamil languages.

60 0

Paper Graph

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Hope Speech Detection | State-of-the-Art