mlsanityData to 7 Oct 2026

Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques

arXiv 2301.00321 ↗First posted 1 Jan 2023cs.CLcited by 3

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Abstract (arXiv)

This paper presents our solutions for the MediaEval 2022 task on DisasterMM. The task is composed of two subtasks, namely (i) Relevance Classification of Twitter Posts (RCTP), and (ii) Location Extraction from Twitter Texts (LETT). The RCTP subtask aims at differentiating flood-related and non-relevant social posts while LETT is a Named Entity Recognition (NER) task and aims at the extraction of location information from the text. For RCTP, we proposed four different solutions based on BERT, RoBERTa, Distil BERT, and ALBERT obtaining an F1-score of 0.7934, 0.7970, 0.7613, and 0.7924, respectively. For LETT, we used three models namely BERT, RoBERTa, and Distil BERTA obtaining an F1-score of 0.6256, 0.6744, and 0.6723, respectively.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 10 of its 21 references that are in the map. First posted on arXiv 1 Jan 2023.

Builds on

10 of 21 references.

References · 10

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  3. 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,243
  4. 2019ALBERT: A Lite BERT for Self-supervised Learning of Language Representationscited by 2,772
  5. 2018A Survey on Deep Learning for Named Entity Recognitioncited by 281
  6. 2018CrisisMMD: Multimodal Twitter Datasets from Natural Disasterscited by 88
  7. 2019Natural Disasters Detection in Social Media and Satellite imagery: a surveycited by 27
  8. 2020Visual Sentiment Analysis from Disaster Images in Social Mediacited by 14
  9. 2022Social Media as an Instant Source of Feedback on Water Qualitycited by 7
  10. 2019Automatic detection of passable roads after floods in remote sensed and social media datacited by 6

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Cited by year

Citing papers per year: 2024: 3.

3 papers.

  1. 2024A Named Entity Recognition and Topic Modeling-based Solution for Locating and Better Assessment of Natural Disasters in Social Mediacited by 4
  2. 2024Deep Learning Based Named Entity Recognition Models for Recipescited by 3
  3. 2024Social Media Informatics for Sustainable Cities and Societies: An Overview of the Applications, associated Challenges, and Potential Solutionscited by 0