NLP Techniques for Water Quality Analysis in Social Media Content
Muhammad Asif Ayub; Khubaib Ahmad; Kashif Ahmad; Nasir Ahmad; Ala Al-Fuqaha · 2021 · arXiv
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
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Abstract (excerpt)
This paper presents our contributions to the MediaEval 2021 task namely "WaterMM: Water Quality in Social Multimedia". The task aims at analyzing social media posts relevant to water quality with particular focus on the aspects like watercolor, smell, taste, and related illnesses. To this aim, a multimodal dataset containing both textual and visual information along with meta-data is provided. Considering the quality and quantity of available content, we mainly focus on textual information by employing three different models individually and jointly in a late-fusion manner. These models includ
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Metadata source: arXiv