{
  "absUrl": "https://arxiv.org/abs/2609.30238",
  "arxivId": "2609.30238",
  "arxivVersion": null,
  "arxivVersionedId": null,
  "authors": [
    {
      "affiliations": [
        "Software School, Shandong University",
        "Shenzhen Loop Area Institute"
      ],
      "name": "Wenhao Li"
    },
    {
      "affiliations": [
        "Software School, Shandong University"
      ],
      "name": "Zhibin Wu"
    },
    {
      "affiliations": [
        "Software School, Shandong University"
      ],
      "name": "Chong Xiao"
    },
    {
      "affiliations": [
        "Software School, Shandong University"
      ],
      "name": "Qiangchang Wang"
    }
  ],
  "contract": "researcher-sidecars-v1",
  "id": "2609.30238",
  "originalTitle": "SemMSA: Latent Semantic-Aided Robust Multimodal Sentiment Analysis with Incomplete Data",
  "pdfUrl": "https://arxiv.org/pdf/2609.30238.pdf",
  "schemaVersion": 1,
  "type": "preprint"
}