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Particularly, countries with a multilingual environment have various patterns and perceptions of news reports considering the diversity of the people. Multilingual and multimodal news analysis is an emerging trend for evaluating news source neutralities. Therefore, in this work, four new deep news particle filtering techniques were developed, including generic news analysis,\n            <jats:bold>sequential importance re-sampling (SIR)<\/jats:bold>\n            -based news particle filtering analysis,\n            <jats:bold>reinforcement learning (RL)<\/jats:bold>\n            -based multimodal news analysis, and\n            <jats:bold>deep Convolution neural network (DCNN)<\/jats:bold>\n            -based multi-news filtering approach, for news classification. Results indicate that these techniques, which primarily employ particle filtering with multilevel sampling strategies, produce 15% to 20% better performance than conventional news analysis techniques.\n          <\/jats:p>","DOI":"10.1145\/3569899","type":"journal-article","created":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T12:13:08Z","timestamp":1668773588000},"page":"1-19","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Multilingual News Feed Analysis using Intelligent Linguistic Particle Filtering Techniques"],"prefix":"10.1145","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2174-7472","authenticated-orcid":false,"given":"Rakesh Kumar","family":"S","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, GITAM School of Technology Bengaluru Campus, GITAM (Deemed to be University), Karnataka, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5745-4455","authenticated-orcid":false,"given":"Gayathri","family":"Nagasubramanian","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, GITAM School of Technology Bengaluru Campus, GITAM (Deemed to be University), Karnataka, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3122-1004","authenticated-orcid":false,"given":"Muthuramalingam","family":"S","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Thiagarajar College of Engineering, Madurai, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5418-873X","authenticated-orcid":false,"given":"Fadi","family":"Al-Turjman","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Engineering Dept., AI and Robotics Institute, Near East University, Mersin 10, Turkey and Research Center for AI and IoT, Faculty of Engineering, University of Kyrenia, Mersin 10, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,3,10]]},"reference":[{"issue":"14","key":"e_1_3_1_2_2","doi-asserted-by":"crossref","first-page":"2181","DOI":"10.1049\/iet-cta.2019.0028","article-title":"Particle filtering-based recursive identification for controlled auto-regressive systems with quantized output","volume":"13","author":"Ding Jie","year":"2019","unstructured":"Jie Ding, Jiazhong Chen, Jinxing Lin, and Guoping Jiang. 2019. 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