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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...313 Hits 1 – 20 of 6.244 1 Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French Delanys, Sarah; Benamara, Farah; Moriceau, Véronique... In: ISSN: 2561-326X ; JMIR Formative Research ; https://hal.archives-ouvertes.fr/hal-03614832 ; JMIR Formative Research, JMIR Publications 2022, 6 (2), pp.e18539. ⟨10.2196/18539⟩ ; https://formative.jmir.org/2022/2/e18539 (2022) BASE Show details 2 Psychological Well-Being of Left-Behind Children in China: Text Mining of the Social Media Website Zhihu. Lyu, Yuwen; Chow, Julian Chun-Chung; Hwang, Ji-Jen... In: International journal of environmental research and public health, vol 19, iss 4 (2022) BASE Show details 3 VEREINDEUTIGUNG ZUR KLASSIFIZIERUNG LEXIKALISCHER OBJEKTE ; DISAMBIGUATION FOR THE CLASSIFICATION OF LEXICAL ITEMS ; DÉSAMBÏGUISATION POUR LA CLASSIFICATION DE LEXÈMES Jourlin, Pierre In: https://hal.archives-ouvertes.fr/hal-03598242 ; France, Patent n° : EP3937059A1. 2022 (2022) BASE Show details 4 PROTECT: A Pipeline for Propaganda Detection and Classification Vorakitphan, Vorakit; Cabrio, Elena; Villata, Serena In: CLiC-it 2021- Italian Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03417019 ; CLiC-it 2021- Italian Conference on Computational Linguistics, Jan 2022, Milan, Italy (2022) BASE Show details 5 Linguistic intergroup bias and persistence of stereotype-affirming memory ... Lee, Junho. - : Open Science Framework, 2022 BASE Show details 6 Linguistic intergroup bias and persistence of stereotype-affirming memory - Addendum 04.26.2022 ... Lee, Junho. - : Open Science Framework, 2022 BASE Show details 7 Evaluation computergestützter Verfahren der Emotionsklassifikation für deutschsprachige Dramen um 1800 ... Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Zenodo, 2022 BASE Show details 8 Evaluation computergestützter Verfahren der Emotionsklassifikation für deutschsprachige Dramen um 1800 ... Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Zenodo, 2022 BASE Show details 9 全文検索システム『ひまわり』用『国会会議録』パッケージの構築 山口 昌也; Masaya YAMAGUCHI. - : 国立国語研究所, 2022 BASE Show details 10 “Thou Shalt Not Take the Lord’s Name in Vain”: A Methodological Proposal to Identify Religious Hate Content on Digital Social Networks Lopes-Silva, Luiz Rogério; Botelho-Francisco, Rodrigo Eduardo; Moreira, Paulo Sergio da Conceição... In: International Journal of Communication; Vol 16 (2022); 22 ; 1932-8036 (2022) BASE Show details 11 What was Theoretical Biology? A Topic-Modelling Analysis of a Multilingual Corpus of Monographs and Journals, 1914-1945 ... Böhm, Alexander; Reiners-Selbach, Stefan; Baedke, Jan. - : Zenodo, 2022 BASE Show details 12 What was Theoretical Biology? A Topic-Modelling Analysis of a Multilingual Corpus of Monographs and Journals, 1914-1945 ... Böhm, Alexander; Reiners-Selbach, Stefan; Baedke, Jan. - : Zenodo, 2022 BASE Show details 13 What was Theoretical Biology? A Topic-Modelling Analysis of a Multilingual Corpus of Monographs and Journals, 1914-1945 ... Böhm, Alexander; Reiners-Selbach, Stefan; Baedke, Jan. - : Zenodo, 2022 BASE Show details 14 What was Theoretical Biology? A Topic-Modelling Analysis of a Multilingual Corpus of Monographs and Journals, 1914-1945 ... Böhm, Alexander; Reiners-Selbach, Stefan; Baedke, Jan. - : Zenodo, 2022 BASE Show details 15 Hedy Lamarr and Frequency Hopping ... Đurić D., Miloš. - : Zenodo, 2022 BASE Show details 16 АРТИКУЛЯЦИОННЫЙ МЕТОД ФОНЕТИКИ В СООТНОШЕНИИ «ЧАСТЬ – ЦЕЛОЕ» ... : ARTICULATION METHOD OF PHONETICS IN THE RATIO "PART WHOLE" ... Алиева М.А.; Исманова Г.А.. - : The Scientific Heritage, 2022 BASE Show details 17 Hedy Lamarr and Frequency Hopping ... Đurić D., Miloš. - : Zenodo, 2022 BASE Show details 18 ЗНАЧЕНИЕ НАУЧНО-ПОПУЛЯРНОЙ СТАТЬИ ... : THE IMPORTANCE OF A POPULAR SCIENTIFIC ARTICLE ... Кузибаева, Р.Ш.. - : Oriental renaissance: Innovative, educational, natural and social sciences, 2022 BASE Show details 19 Connecting Text Classification with Image Classification: A New Preprocessing Method for Implicit Sentiment Text Classification Meikang Chen; Kurban Ubul; Xuebin Xu; Alimjan Aysa; Mahpirat Muhammat In: Sensors; Volume 22; Issue 5; Pages: 1899 (2022) Abstract: As a research hotspot in the field of natural language processing (NLP), sentiment analysis can be roughly divided into explicit sentiment analysis and implicit sentiment analysis. However, due to the lack of obvious emotion words in the implicit sentiment analysis task and because the sentiment polarity contained in implicit sentiment words is not easily accurately identified by existing text-processing methods, the implicit sentiment analysis task is one of the most difficult tasks in sentiment analysis. This paper proposes a new preprocessing method for implicit sentiment text classification; this method is named Text To Picture (TTP) in this paper. TTP highlights the sentiment differences between different sentiment polarities in Chinese implicit sentiment text with the help of deep learning by converting original text data into word frequency maps. The differences between sentiment polarities are used as sentiment clues to improve the performance of the Chinese implicit sentiment text classification task. It does this by transforming the original text data into a word frequency map in order to highlight the differences between the sentiment polarities expressed in the implicit sentiment text. We conducted experimental tests on two common datasets (SMP2019, EWECT), and the results show that the accuracy of our method is significantly improved compared with that of the competitor’s. On the SMP2019 dataset, the accuracy-improvement range was 4.55–7.06%. On the EWECT dataset, the accuracy was improved by 1.81–3.95%. In conclusion, the new preprocessing method for implicit sentiment text classification proposed in this paper can achieve better classification results. Keyword: data preprocessing; image classification; implicit sentiment analysis; natural language processing; text classification URL: https://doi.org/10.3390/s22051899 BASE Hide details 20 Short Text Aspect-Based Sentiment Analysis Based on CNN + BiGRU Ziwen Gao; Zhiyi Li; Jiaying Luo; Xiaolin Li In: Applied Sciences; Volume 12; Issue 5; Pages: 2707 (2022) BASE Show details Page: 1 2 3 4 5...313

Mobile view All Catalogues UB Frankfurt Linguistik 1.149 IDS Mannheim 127 OLC Linguistik 518 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 9 Institut für Empirische Sprachwissenschaft 20 Leibniz-Centre General Linguistics (ZAS) 36 Bibliographies BLLDB 4.287 BDSL 50 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 14 Journal directory 1 Database directory 1 Dictionary directory 0 Open access documents BASE 1.630 Linguistik-Repository 10 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0