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The news feed evaluation system can be implemented for single or multilingual language models. Classification techniques used on multilingual news analysis require deep layered learning techniques rather than conventional approaches. In this proposed work, a hierarchical structure of deep learning algorithms is implemented for making an effective complex news evaluation system. Deep learning techniques such as the Deep Cooperative Multilingual Reinforcement Learning Model, the Multidimensional Genetic Algorithm, and the Multilingual Generative Adversarial Network are developed to evaluate a vast number of news feeds. The proposed tech-niques collaborate in a pipeline order to build a deep news feed evaluation system. The implementation details project that the newly proposed system performs 5% to 12% better than the other news evaluation systems.<\/jats:p>","DOI":"10.1145\/3414523","type":"journal-article","created":{"date-parts":[[2021,3,9]],"date-time":"2021-03-09T11:28:04Z","timestamp":1615289284000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Multimodal News Feed Evaluation System with Deep Reinforcement Learning Approaches"],"prefix":"10.1145","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2174-7472","authenticated-orcid":false,"given":"S.","family":"Rakesh Kumar","sequence":"first","affiliation":[{"name":"GGR College of Engineering, Vellore, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Muthuramalingam","sequence":"additional","affiliation":[{"name":"Thiagarajar College of Engineering, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fadi","family":"Al-Turjman","sequence":"additional","affiliation":[{"name":"Near East University, Nicosia, Mersin, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,3,9]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2018.12.001"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajem.2018.10.058"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/21670811.2019.1625715"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1108\/14684521211287936"},{"key":"e_1_2_1_5_1","first-page":"424","article-title":"Sentiment analysis using deep learning techniques: A review","volume":"8","author":"Ain Qurat Tul","year":"2017","journal-title":"International Journal of Advanced Computer Science and Applications"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1171"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.10.003"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-018-3500-z"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.04.024"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S19-2145"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s42001-019-00035-x"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/computers8010004"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-019-0557-y"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.02.002"},{"volume-title":"Proceedings of the 30th Teaching Academic Survival and Success Conference.","year":"2019","author":"Pastorini Marcos","key":"e_1_2_1_15_1"},{"volume-title":"Proceedings of the 30th Teaching Academic Survival and Success Conference.","year":"2019","author":"Mut Altin Lutfiye Seda","key":"e_1_2_1_16_1"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1002\/spe.2687"},{"key":"e_1_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Pradeepthi Nimirthi P. 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