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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 Hits 1 – 20 of 52 1 From bag-of-words towards natural language: adapting topic models to avoid stop word removal ... Max Schulze Dieckhoff. - : Universitätsbibliothek Eichstätt-Ingolstadt, 2022 BASE Show details 2 On the use of machine translation and topic-modeling to analyze non-parallel multilingual corpora: A case study in the history of philosophy of science ... Lareau, Francis; Malaterre, Christophe. - : Zenodo, 2022 BASE Show details 3 On the use of machine translation and topic-modeling to analyze non-parallel multilingual corpora: A case study in the history of philosophy of science ... Lareau, Francis; Malaterre, Christophe. - : Zenodo, 2022 BASE Show details 4 Analysis of Destination Images in the Emerging Ski Market: The Case Study in the Host City of the 2022 Beijing Winter Olympic Games Yuanxiang Peng; Ping Yin; Kurt Matzler In: Sustainability; Volume 14; Issue 1; Pages: 555 (2022) BASE Show details 5 Same same, but different ? On the Relation of Information Science and the Digital Humanities A Scientometric Comparison of Academic Journals Using LDA and Hierarchical Clustering ... Burghardt, Manuel; Luhmann, Jan. - : Universität Regensburg, 2021 BASE Show details 6 A Deep Topical N-gram Model and Topic Discovery on COVID-19 News and Research Manuscripts Du, Yuan In: Electronic Thesis and Dissertation Repository (2021) BASE Show details 7 Determining Tone of a Body of Text Hollant, Cole G. In: Senior Projects Spring 2020 (2020) BASE Show details 8 Modeling the Research Landscapes of Artificial Intelligence Applications in Diabetes (GAPRESEARCH) Vu; Tran; McIntyre... In: International Journal of Environmental Research and Public Health ; Volume 17 ; Issue 6 (2020) BASE Show details 9 A special case of long distance agreement in Marathi Ozarkar, Renuka In: Glossa: a journal of general linguistics; Vol 5, No 1 (2020); 93 ; 2397-1835 (2020) BASE Show details 10 An LDA-based Approach for Product Attribute Identification from Online Customer Reviews Joung, Junegak; Kim, Harrison M.. - 2020 BASE Show details 11 Detection of weak signals in weakly structured data masses ; Détection de signaux faibles dans des masses de données faiblement structurées Maitre, Julien; Ménard, Michel; Chiron, Guillaume... In: EISSN: 2516-3280 ; Recherche d’Information, Document et Web Sémantique ; https://hal.archives-ouvertes.fr/hal-02552771 ; Recherche d’Information, Document et Web Sémantique, ISTE OpenScience, 2019, 3 (1), ⟨10.21494/ISTE.OP.2020.0463⟩ (2019) BASE Show details 12 Mouse tracking as a window into decision making Maldonado, Mora; Dunbar, Ewan; Chemla, Emmanuel In: ISSN: 1554-351X ; EISSN: 1554-3528 ; Behavior Research Methods ; https://hal.archives-ouvertes.fr/hal-02274523 ; Behavior Research Methods, Psychonomic Society, Inc, 2019, 51 (3), pp.1085-1101. ⟨10.3758/s13428-018-01194-x⟩ (2019) BASE Show details 13 Acoustic distances, Pillai scores and LDA classification scores as metrics of L2 comprehensibility and nativelikeness Mairano, Paolo; Bouzon, Caroline; Capliez, Marc... In: Proceedings of the 19th International Congress of Phonetic Sciences, Melbourne, Australia 2019 ; ICPhS2019 ; https://hal.archives-ouvertes.fr/hal-03046802 ; ICPhS2019, Aug 2019, Melbourne, Australia (2019) BASE Show details 14 Expanding the analysis of functional Near-Infrared Spectroscopy (fNIRS) data with multivariate techniques ... : application to a children’s literacy study ... Gemignani, Jessica. - : Technische Universität Berlin, 2019 BASE Show details 15 Scalable Collapsed Inference for High-Dimensional Topic Models ... Islam, Rashidul; Foulds, James. - : Association for Computational Linguistics, 2019 BASE Show details 16 Anemone: a Visual Semantic Graph Ficapal Vila, Joan. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019 BASE Show details 17 Comparison studies on active cross-situational object-word learning using Non-Negative Matrix Factorization and Latent Dirichlet Allocation Chen, Yuxin; Bordes, Jean-Baptiste; Filliat, David In: ISSN: 2379-8920 ; EISSN: 2379-8939 ; IEEE Transactions on Cognitive and Developmental Systems ; https://hal.archives-ouvertes.fr/hal-01561168 ; IEEE Transactions on Cognitive and Developmental Systems, Institute of Electrical and Electronics Engineers, Inc, In press, ⟨10.1109/TCDS.2017.2725304⟩ (2018) BASE Show details 18 Introducing Semantics in Short Text Classification Bouaziz, Ameni; da Costa Pereira, Célia; Dartigues-Pallez, Christel; Precioso, Frédéric In: ISSN: 0302-9743 ; Lecture Notes in Computer Science ; https://hal.archives-ouvertes.fr/hal-03625724 ; Lecture Notes in Computer Science, Springer, 2018, Computational Linguistics and Intelligent Text Processing 17th International Conference, CICLing 2016, Konya, Turkey, April 3–9, 2016, Revised Selected Papers, Part II, 9624, pp.433 - 445. ⟨10.1007/978-3-319-75487-1_34⟩ (2018) Abstract: International audience ; To overcome short text classification issues due to shortness and sparseness, the enrichment process is classically proposed: topics (word clusters) are extracted from external knowledge sources using Latent Dirichlet Allocation. All the words, associated to topics which encompass short text words, are added to the initial short text content. We propose (i) an explicit representation of a two-level enrichment method in which the enrichment is considered either with respect to each word in the text or to the global semantic meaning of the short text and (ii) a new semantic Random Forest kind in which semantic relations between features are taken into account at node level rather than at tree level as it was recently proposed in the literature to avoid potential tree correlation. We demonstrate that our enrichment method is valid not only for Random Forest based methods but also for other methods like MaxEnt, SVM and Naive Bayes. Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; LDA; semantics; Semantics LDA; short text classification; text enrichment URL: https://hal.archives-ouvertes.fr/hal-03625724/file/211.pdf https://hal.archives-ouvertes.fr/hal-03625724 https://hal.archives-ouvertes.fr/hal-03625724/document https://doi.org/10.1007/978-3-319-75487-1_34 BASE Hide details 19 A fuzzy credibility model to estimate the operational value at risk using internal and external data of risk events Pena, Alejandro; Bonet, Isis; Lochmuller, Christian. - : Elsevier, 2018 BASE Show details 20 Korean vowel identification by English and Mandarin listeners: Effects of L1-L2 vowel inventory size and acoustic relationship Ryu, Na-Young In: Toronto Working Papers in Linguistics; Vol 40 (2018): Special issue from the CRC-sponsored phonology/phonetics workshops ; 1718-3510 ; 1705-8619 (2018) BASE Show details Page: 1 2 3

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