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Vulgar Remarks Detection in Chittagonian Dialect of Bangla

arXiv 2308.15448 ↗First posted 29 Aug 2023cs.CLcited by 0

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Abstract (arXiv)

The negative effects of online bullying and harassment are increasing with Internet popularity, especially in social media. One solution is using natural language processing (NLP) and machine learning (ML) methods for the automatic detection of harmful remarks, but these methods are limited in low-resource languages like the Chittagonian dialect of Bangla.This study focuses on detecting vulgar remarks in social media using supervised ML and deep learning algorithms.Logistic Regression achieved promising accuracy (0.91) while simple RNN with Word2vec and fastTex had lower accuracy (0.84-0.90), highlighting the issue that NN algorithms require more data.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 21 of its 97 references that are in the map. First posted on arXiv 29 Aug 2023.

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References · 21

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  4. 2017A Unified Approach to Interpreting Model Predictionscited by 6,555
  5. 2020Longformer: The Long-Document Transformercited by 3,413
  6. 2017Explanation in Artificial Intelligence: Insights from the Social Sciencescited by 1,206
  7. 2015Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Bookscited by 1,043
  8. 2020BERTweet: A pre-trained language model for English Tweetscited by 346
  9. 2021MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcarecited by 161
  10. 2020Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Textcited by 67
  11. 2016An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generationcited by 48
  12. 2016Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Poolingcited by 39
9 more
  1. 2015Sentiment of Emojiscited by 32
  2. 2022Data set creation and empirical analysis for detecting signs of depression from social media postingscited by 26
  3. 2022Hate Speech and Offensive Language Detection in Bengalicited by 19
  4. 2017BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMscited by 16
  5. 2021Hate Speech Detection in Roman Urducited by 8
  6. 2015Unveiling the Political Agenda of the European Parliament Plenary: A Topical Analysiscited by 7
  7. 2021Bangla Text Dataset and Exploratory Analysis for Online Harassment Detectioncited by 7
  8. 2016Enhanced Twitter Sentiment Classification Using Contextual Informationcited by 5
  9. 2021Training Cross-Lingual embeddings for Setswana and Sepedicited by 5

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