{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T02:10:19Z","timestamp":1742955019004,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031162695"},{"type":"electronic","value":"9783031162701"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-16270-1_2","type":"book-chapter","created":{"date-parts":[[2022,9,15]],"date-time":"2022-09-15T09:30:11Z","timestamp":1663234211000},"page":"16-27","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["DaFNeGE: Dataset of\u00a0French Newsletters with\u00a0Graph Representation and\u00a0Embedding"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0886-9598","authenticated-orcid":false,"given":"Alexis","family":"Blandin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Farida","family":"Sa\u00efd","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeanne","family":"Villaneau","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierre-Fran\u00e7ois","family":"Marteau","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,16]]},"reference":[{"key":"2_CR1","doi-asserted-by":"publisher","unstructured":"Abdaoui, A., Az\u00e9, J., Bringay, S., Poncelet, P.: FEEL: a French expanded emotion Lexicon. Lang. Resources Eval. 51(3), 833\u2013855 (2017). https:\/\/doi.org\/10.1007\/s10579-016-9364-5. https:\/\/hal-lirmm.ccsd.cnrs.fr\/lirmm-01348016","DOI":"10.1007\/s10579-016-9364-5"},{"key":"2_CR2","unstructured":"Blandin, A., Sa\u00efd, F., Villaneau, J., Marteau, P.F.: Automatic emotions analysis for french email campaigns optimization. In: CENTRIC 2021, Barcelone, Spain, October 2021. https:\/\/hal.archives-ouvertes.fr\/hal-03424725"},{"key":"2_CR3","doi-asserted-by":"crossref","unstructured":"Bonfrer, A., Dr\u00e8ze, X.: Real-time evaluation of e-mail campaign performance. Marketing Science (2009)","DOI":"10.1287\/mksc.1080.0393"},{"key":"2_CR4","doi-asserted-by":"crossref","unstructured":"d\u2019Hoffschmidt, M., Belblidia, W., Brendl\u00e9, T., Heinrich, Q., Vidal, M.: Fquad: French question answering dataset (2020)","DOI":"10.18653\/v1\/2020.findings-emnlp.107"},{"key":"2_CR5","unstructured":"Duvenaud, D., et al.: Convolutional networks on graphs for learning molecular fingerprints. arXiv preprint arXiv:1509.09292 (2015)"},{"key":"2_CR6","doi-asserted-by":"publisher","unstructured":"Ekman, P.: Basic Emotions, chap. 3, pp. 45\u201360. John Wiley and Sons, Ltd (1999). https:\/\/doi.org\/10.1002\/0470013494.ch3. https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/0470013494.ch3","DOI":"10.1002\/0470013494.ch3"},{"key":"2_CR7","unstructured":"Guenoune, H., Cousot, K., Lafourcade, M., Mekaoui, M., Lopez, C.: A dataset for anaphora analysis in French emails. In: Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference, pp. 165\u2013175. Association for Computational Linguistics, Barcelona, Spain (online), December 2020. https:\/\/aclanthology.org\/2020.crac-1.17"},{"key":"2_CR8","unstructured":"Honnibal, M., Montani, I.: spaCy 2: natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing (2017), to appear"},{"key":"2_CR9","unstructured":"Ipsen, N., Mattei, P.A., Frellsen, J.: How to deal with missing data in supervised deep learning? In: ICML Workshop on the Art of Learning with Missing Values (Artemiss) (2020)"},{"key":"2_CR10","unstructured":"Kalitvianski, R.: Traitements formels et s\u00e9mantiques des \u00e9changes et des documents textuels li\u00e9s \u00e0 des activit\u00e9s collaboratives. Theses, Universit\u00e9 Grenoble Alpes, March 2018. https:\/\/tel.archives-ouvertes.fr\/tel-01893348"},{"key":"2_CR11","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)"},{"key":"2_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/978-3-540-30115-8_22","volume-title":"Machine Learning: ECML 2004","author":"B Klimt","year":"2004","unstructured":"Klimt, B., Yang, Y.: The enron corpus: a new dataset for email classification research. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) ECML 2004. LNCS (LNAI), vol. 3201, pp. 217\u2013226. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-30115-8_22"},{"key":"2_CR13","doi-asserted-by":"publisher","unstructured":"Kumar, A.: An empirical examination of the effects of design elements of email newsletters on consumers\u2019 email responses and their purchase. J. Retailing Consumer Serv. 58, 102349 (2021). https:\/\/doi.org\/10.1016\/j.jretconser.2020.102349. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0969698920313576","DOI":"10.1016\/j.jretconser.2020.102349"},{"key":"2_CR14","unstructured":"Loria, S.: textblob documentation. Release 0.15 2 (2018)"},{"key":"2_CR15","unstructured":"Mandivarapu, J.K., Bunch, E., You, Q., Fung, G.: Efficient document image classification using region-based graph neural network. CoRR abs\/2106.13802 (2021). https:\/\/arxiv.org\/abs\/2106.13802"},{"key":"2_CR16","doi-asserted-by":"publisher","unstructured":"Miller, R., Charles, E.: A psychological based analysis of marketing email subject lines. In: 2016 Sixteenth International Conference on Advances in ICT for Emerging Regions (ICTer), pp. 58\u201365 (2016). https:\/\/doi.org\/10.1109\/ICTER.2016.7829899","DOI":"10.1109\/ICTER.2016.7829899"},{"issue":"3","key":"2_CR17","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1111\/j.1467-8640.2012.00460.x","volume":"29","author":"SM Mohammad","year":"2013","unstructured":"Mohammad, S.M., Turney, P.D.: Crowdsourcing a word-emotion association lexicon. Comput. Intell. 29(3), 436\u2013465 (2013)","journal-title":"Comput. Intell."},{"issue":"2","key":"2_CR18","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1177\/0741088317699898","volume":"34","author":"T Olive","year":"2017","unstructured":"Olive, T., Barbier, M.L.: Processing time and cognitive effort of longhand note taking when reading and summarizing a structured or linear text. Writ. Commun. 34(2), 224\u2013246 (2017)","journal-title":"Writ. Commun."},{"key":"2_CR19","unstructured":"Oono, K., Suzuki, T.: Graph neural networks exponentially lose expressive power for node classification. arXiv preprint arXiv:1905.10947 (2019)"},{"key":"2_CR20","doi-asserted-by":"crossref","unstructured":"Rajpurkar, P., Jia, R., Liang, P.: Know what you don\u2019t know: unanswerable questions for squad (2018)","DOI":"10.18653\/v1\/P18-2124"},{"key":"2_CR21","doi-asserted-by":"publisher","unstructured":"Salloum, S., Gaber, T., Vadera, S., Shaalan, K.: Phishing email detection using natural language processing techniques: a literature survey. Procedia Comput. Sci. 189, 19\u201328 (2021). https:\/\/doi.org\/10.1016\/j.procs.2021.05.077","DOI":"10.1016\/j.procs.2021.05.077"},{"key":"2_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1007\/978-3-319-93417-4_38","volume-title":"The Semantic Web","author":"M Schlichtkrull","year":"2018","unstructured":"Schlichtkrull, M., Kipf, T.N., Bloem, P., van\u00a0den Berg, R., Titov, I., Welling, M.: Modeling relational data with graph convolutional networks. In: Gangemi, A., Navigli, R., Vidal, M.-E., Hitzler, P., Troncy, R., Hollink, L., Tordai, A., Alam, M. (eds.) ESWC 2018. LNCS, vol. 10843, pp. 593\u2013607. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-93417-4_38"},{"key":"2_CR23","doi-asserted-by":"crossref","unstructured":"Seth, S., Biswas, S.: Multimodal spam classification using deep learning techniques. In: 2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), pp. 346\u2013349. IEEE (2017)","DOI":"10.1109\/SITIS.2017.91"},{"key":"2_CR24","doi-asserted-by":"crossref","unstructured":"Shen, Z., Zhang, R., Dell, M., Lee, B.C.G., Carlson, J., Li, W.: Layoutparser: a unified toolkit for deep learning based document image analysis. arXiv preprint arXiv:2103.15348 (2021)","DOI":"10.1007\/978-3-030-86549-8_9"},{"key":"2_CR25","unstructured":"Wang, M., et al.: Deep graph library: A graph-centric, highly-performant package for graph neural networks. arXiv preprint arXiv:1909.01315 (2019)"},{"key":"2_CR26","unstructured":"Wright, P.: The psychology of layout: Consequences of the visual structure of documents. American Association for Artificial Intelligence Technical Report FS-99-04, pp. 1\u20139 (1999)"},{"key":"2_CR27","unstructured":"Wu, Y., Kirillov, A., Massa, F., Lo, W.Y., Girshick, R.: Detectron2. https:\/\/github.com\/facebookresearch\/detectron2 (2019)"},{"issue":"6","key":"2_CR28","doi-asserted-by":"publisher","first-page":"1152","DOI":"10.3390\/app9061152","volume":"9","author":"H Yang","year":"2019","unstructured":"Yang, H., Liu, Q., Zhou, S., Luo, Y.: A spam filtering method based on multi-modal fusion. Appl. Sci. 9(6), 1152 (2019)","journal-title":"Appl. Sci."},{"key":"2_CR29","doi-asserted-by":"crossref","unstructured":"Yesilada, Y., Jay, C., Stevens, R., Harper, S.: Validating the use and role of visual elements of web pages in navigation with an eye-tracking study. In: Proceedings of the 17th International Conference on World Wide Web, pp. 11\u201320 (2008)","DOI":"10.1145\/1367497.1367500"}],"container-title":["Lecture Notes in Computer Science","Text, Speech, and Dialogue"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16270-1_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,15]],"date-time":"2022-09-15T09:31:07Z","timestamp":1663234267000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16270-1_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031162695","9783031162701"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16270-1_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"16 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TSD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Text, Speech, and Dialogue","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brno","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"tsd2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.tsdconference.org\/tsd2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}