{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T14:48:09Z","timestamp":1784731689373,"version":"3.55.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7]]},"abstract":"<jats:p>Targeted Multimodal Sentiment Classification (TMSC) aims to identify the sentiment polarities over each target mentioned in a pair of sentence and image. Existing methods to TMSC failed to explicitly capture both coarse-grained and fine-grained image-target matching, including 1) the relevance between the image and the target and 2) the alignment between visual objects and the target. To tackle this issue, we propose a new multi-task learning architecture named coarse-to-fine grained Image-Target Matching network (ITM), which jointly performs image-target relevance classification, object-target alignment, and targeted sentiment classification. We further construct an Image-Target Matching dataset by manually annotating the image-target relevance and the visual object aligned with the input target. Experiments on two benchmark TMSC datasets show that our model consistently outperforms the baselines, achieves state-of-the-art results, and presents interpretable visualizations.<\/jats:p>","DOI":"10.24963\/ijcai.2022\/622","type":"proceedings-article","created":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T22:55:56Z","timestamp":1657925756000},"page":"4482-4488","source":"Crossref","is-referenced-by-count":51,"title":["Targeted Multimodal Sentiment Classification based on Coarse-to-Fine Grained Image-Target Matching"],"prefix":"10.24963","author":[{"given":"Jianfei","family":"Yu","sequence":"first","affiliation":[{"name":"Nanjing University of Science and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jieming","family":"Wang","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Xia","sequence":"additional","affiliation":[{"name":"Nanjing University of Sciences and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junjie","family":"Li","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10584","event":{"name":"Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}","theme":"Artificial Intelligence","location":"Vienna, Austria","acronym":"IJCAI-2022","number":"31","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2022,7,23]]},"end":{"date-parts":[[2022,7,29]]}},"container-title":["Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T07:10:44Z","timestamp":1658128244000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2022\/622"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2022\/622","relation":{},"subject":[],"published":{"date-parts":[[2022,7]]}}}