{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T23:04:23Z","timestamp":1773615863265,"version":"3.50.1"},"reference-count":19,"publisher":"Allerton Press","issue":"7","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Aut. Control Comp. Sci."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.3103\/s0146411624700408","type":"journal-article","created":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T14:48:32Z","timestamp":1739371712000},"page":"977-994","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Semantic Rule-Based Sentiment Detection Algorithm for Russian Publicism Sentences"],"prefix":"10.3103","volume":"58","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0116-4739","authenticated-orcid":false,"given":"A. Y.","family":"Poletaev","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3984-8423","authenticated-orcid":false,"given":"I. V.","family":"Paramonov","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6600-2971","authenticated-orcid":false,"given":"E. I.","family":"Boychuk","sequence":"additional","affiliation":[]}],"member":"1627","published-online":{"date-parts":[[2025,2,12]]},"reference":[{"key":"7761_CR1","doi-asserted-by":"publisher","unstructured":"Liu, B., Sentiment Analysis and Opinion Mining, Synthesis Lectures on Human Language Technologies, Cham: Springer, 2022. https:\/\/doi.org\/10.1007\/978-3-031-02145-9","DOI":"10.1007\/978-3-031-02145-9"},{"key":"7761_CR2","first-page":"8","volume":"2552","author":"A. Dvoybikova","year":"2019","unstructured":"Dvoybikova, A., Karpov, A., and Verkholyak, O., Analytical review of methods for identifying emotions in text data, CEUR Workshop Proc., 2019, vol. 2552, pp. 8\u201321. https:\/\/ceur-ws.org\/Vol-2552\/Paper2.pdf.","journal-title":"CEUR Workshop Proc."},{"key":"7761_CR3","doi-asserted-by":"publisher","first-page":"102484","DOI":"10.1016\/j.ipm.2020.102484","volume":"58","author":"S. Smetanin","year":"2021","unstructured":"Smetanin, S. and Komarov, M., Deep transfer learning baselines for sentiment analysis in Russian, Inf. Process. Manage., 2021, vol. 58, no. 3, p. 102484. https:\/\/doi.org\/10.1016\/j.ipm.2020.102484","journal-title":"Inf. Process. Manage."},{"key":"7761_CR4","doi-asserted-by":"publisher","unstructured":"Nursakitov, K.E., Bekishev, A.T., Kumargazhanova, S.K., and Urkumbaeva, A.M., Review of methods for determining the tonation of texts in natural languages, Vestn. Univ. Shakarima. Ser. Tekh. Nauki, 2023, no. 1, pp. 57\u201366. https:\/\/doi.org\/10.53360\/2788-7995-2023-1(9)-8","DOI":"10.53360\/2788-7995-2023-1(9)-8"},{"key":"7761_CR5","doi-asserted-by":"publisher","first-page":"35","DOI":"10.35377\/saucis.04.01.833026","volume":"4","author":"M.S. Ba\u015farslan","year":"2021","unstructured":"Ba\u015farslan, M.S. and Kayaalp, F., Sentiment analysis on social media reviews datasets with deep learning approach, Sakarya Univ. J. Comput. Inf. Sci., 2021, vol. 4, no. 1, pp. 35\u201349. https:\/\/doi.org\/10.35377\/saucis.04.01.833026","journal-title":"Sakarya Univ. J. Comput. Inf. Sci."},{"key":"7761_CR6","doi-asserted-by":"publisher","first-page":"5731","DOI":"10.1007\/s10462-022-10144-1","volume":"55","author":"M. Wankhade","year":"2022","unstructured":"Wankhade, M., Rao, A.Ch.S., and Kulkarni, Ch., A survey on sentiment analysis methods, applications, and challenges, Artif. Intell. Rev., 2022, vol. 55, no. 7, pp. 5731\u20135780. https:\/\/doi.org\/10.1007\/s10462-022-10144-1","journal-title":"Artif. Intell. Rev."},{"key":"7761_CR7","doi-asserted-by":"publisher","first-page":"257","DOI":"10.30853\/filnauki.2019.5.55","volume":"12","author":"E.N. Tulupova","year":"2019","unstructured":"Tulupova, E.N. and Golovina, E.V., Lexico-stylistic peculiarities of tourist\u2019s Internet commentary, Filologicheskie Nauki. \n               Vopr. Teor. Prakt., 2019, vol. 12, no. 5, pp. 257\u2013261. https:\/\/doi.org\/10.30853\/filnauki.2019.5.55","journal-title":"Vopr. Teor. Prakt."},{"key":"7761_CR8","doi-asserted-by":"publisher","first-page":"107","DOI":"10.20323\/2499-9679-2021-3-26-107-115","volume":"3","author":"E.I. Bojchuk","year":"2021","unstructured":"Bojchuk, E.I., Lexical and grammatical features of Internet reviews in the Russian and English languages, Verhnevolzhski Philologicheskii Bull., 2021, vol. 3, no. 26, pp. 107\u2013115. https:\/\/doi.org\/10.20323\/2499-9679-2021-3-26-107-115","journal-title":"Verhnevolzhski Philologicheskii Bull."},{"key":"7761_CR9","doi-asserted-by":"publisher","first-page":"740","DOI":"10.3103\/s0146411623070118","volume":"57","author":"A.Y. Poletaev","year":"2023","unstructured":"Poletaev, A.Y. and Paramonov, I.V., Recursive sentiment detection algorithm for Russian sentences, Autom. Control Comput. Sci., 2023, vol. 57, no. 7, pp. 740\u2013749. https:\/\/doi.org\/10.3103\/s0146411623070118","journal-title":"Autom. Control Comput. Sci."},{"key":"7761_CR10","unstructured":"Yeremina, M.A., Speech genre of feedback in internet communicative space, Nauchn. \n               Dialog, 2016, no. 5, pp.\u00a034\u201345. https:\/\/elibrary.ru\/waewin."},{"key":"7761_CR11","unstructured":"Kalashnikova, A.R., Informative textual tonality as a determinant of rhythmic textual organization, Izv. Volgogr. Gos. Pedagog. Univ., 2016, no. 3, pp. 113\u2013116. https:\/\/elibrary.ru\/nenufj."},{"key":"7761_CR12","doi-asserted-by":"crossref","unstructured":"Paramonov, I.V. and Poletaev, A.Yu., Annotation of text corpora by sentiment and presence of irony within a project of citizen science, Autom. Control Comput. Sci., 2024, vol. 58, no. 7.","DOI":"10.3103\/S0146411624700263"},{"key":"7761_CR13","unstructured":"Loukachevitch, N. and Levchik, A., Creating a general Russian sentiment lexicon, Proc. Tenth Int. Conf. on Language Resources and Evaluation (LREC\u201916), Portoro\u017e, Slovenia, 2016, Calzolari, N., Choukri, Kh., Declerck, T., Goggi, S., Grobelnik, M., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J., and Piperidis, S., Eds., European Language Resources Association, 2016, pp. 1171\u20131176. https:\/\/aclanthology.org\/L16-1186."},{"key":"7761_CR14","doi-asserted-by":"publisher","unstructured":"Kulagin, D.I., Publicly available sentiment dictionary for the Russian language KartaSlovSent, Komp\u2019yuternaya lingvistika i intellektual\u2019nye tekhnologii (Computational Linguistics and Intellectual Technologies), Ross. Gos. Gumanit. Univ., 2021, pp. 1106\u20131119. https:\/\/doi.org\/10.28995\/2075-7182-2021-20-1106-1119","DOI":"10.28995\/2075-7182-2021-20-1106-1119"},{"key":"7761_CR15","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.15622\/ia.22.6.3","volume":"22","author":"A.Yu. Poletaev","year":"2023","unstructured":"Poletaev, A.Yu., Paramonov, I.V., and Boychuk, E.I., Algorithm of constituency tree from depencency tree construction for a Russian-language sentence, Inf. Avtom., 2023, vol. 22, no. 6, pp. 1323\u20131353. https:\/\/doi.org\/10.15622\/ia.22.6.3","journal-title":"Inf. Avtom."},{"key":"7761_CR16","doi-asserted-by":"publisher","unstructured":"Breiman, L., Friedman, J.H., Olshen, R.A., and Stone, Ch.J., Classification and Regression Trees, Routledge, 2017. https:\/\/doi.org\/10.1201\/9781315139470","DOI":"10.1201\/9781315139470"},{"key":"7761_CR17","doi-asserted-by":"publisher","unstructured":"Koltsova, O., Alexeeva, S., Pashakhin, S., and Koltsov, S., PolSentiLex: Sentiment detection in socio-political discussions on russian social media, Artificial Intelligence and Natural Language. AINL 2020, Filchenkov, A., Kauttonen, J., and Pivovarova, L., Eds., Communications in Computer and Information Science, vol. 1292, Cham: Springer, 2020, pp. 1\u201316. https:\/\/doi.org\/10.1007\/978-3-030-59082-6_1","DOI":"10.1007\/978-3-030-59082-6_1"},{"key":"7761_CR18","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s42001-019-00035-x","volume":"2","author":"W. Souma","year":"2019","unstructured":"Souma, W., Vodenska, I., and Aoyama, H., Enhanced news sentiment analysis using deep learning methods, J.\u00a0Comput. Soc. Sci., 2019, vol. 2, no. 1, pp. 33\u201346. https:\/\/doi.org\/10.1007\/s42001-019-00035-x","journal-title":"J.\u00a0Comput. Soc. Sci."},{"key":"7761_CR19","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.ins.2021.01.025","volume":"562","author":"A.B. Junior","year":"2021","unstructured":"Junior, A.B., Da Silva, N.F.F., Rosa, T.C., and Junior, C.G.C., Sentiment analysis with genetic programming, Inf. Sci., 2021, vol. 562, pp. 116\u2013135. https:\/\/doi.org\/10.1016\/j.ins.2021.01.025","journal-title":"Inf. Sci."}],"container-title":["Automatic Control and Computer Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.3103\/S0146411624700408.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.3103\/S0146411624700408","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.3103\/S0146411624700408.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T22:05:45Z","timestamp":1773612345000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.3103\/S0146411624700408"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":19,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["7761"],"URL":"https:\/\/doi.org\/10.3103\/s0146411624700408","relation":{},"ISSN":["0146-4116","1558-108X"],"issn-type":[{"value":"0146-4116","type":"print"},{"value":"1558-108X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]},"assertion":[{"value":"6 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 November 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 November 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 February 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors of this work declare that they have no conflicts of interest.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"CONFLICT OF INTEREST"}}]}}