Natural Language Processing Group

Publications

Afsharizadeh, M., Ebrahimpour-Komleh, H., Bagheri, A., & Chrupała, G. (2022). A survey on multi-document summarization and domain-oriented approaches. Journal of Information Systems and Telecommunication (JIST), 1(37), 68.

 

de Jong, D., & Bagheri, A. (2022). The case of imperfect negation cues: A two-step approach for automatic negation scope resolution. International Conference on Applications of Natural Language to Information Systems, 413–424.

 

Giachanou, A., Ghanem, B., Ríssola, E. A., Rosso, P., Crestani, F., & Oberski, D. (2022). The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers. Data & Knowledge Engineering, 138, 101960.

 

Giachanou, A., Zhang, X., Barrón-Cedeño, A., Koltsova, O., & Rosso, P. (2022). Online information disorder: Fake news, bots and trolls (pp. 1–5). Springer International Publishing.

 

Keuren, P., Ponsen, M., & Bagheri, A. (2022). WordGraph2Vec: Combining domain knowledge with text embeddings. Joint International Scientific Conferences on AI and Machine Learning.

 

Teijema, J., Hofstee, L., Brouwer, M., de Bruin, J., Ferdinands, G., de Boer, J., Siso, P. V., van den Brand, S., Bockting, C., van de Schoot, R., & others. (2022). Active learning-based Systematic reviewing using switching classification models: The case of the onset, maintenance, and relapse of depressive disorders.

 

van Driel, I. I., Giachanou, A., Pouwels, J. L., Boeschoten, L., Beyens, I., & Valkenburg, P. M. (2022). Promises and pitfalls of social media data donations. Communication Methods and Measures, 1–17.

 

Zhang, G., Giachanou, A., & Rosso, P. (2022). SceneFND: Multimodal fake news detection by modelling scene context information. Journal of Information Science, 01655515221087683.

 

Bagheri, A. (2021). Text mining in healthcare: Bringing structure to electronic health records. Utrecht University.

 

Bagheri, A., Groenhof, T. K. J., Asselbergs, F. W., Haitjema, S., Bots, M. L., Veldhuis, W. B., De Jong, P. A., & Oberski, D. L. (2021). Automatic prediction of recurrence of major cardiovascular events: A text mining study using chest X-ray reports. Journal of Healthcare Engineering, 2021.

 

Boeschoten, L., van Kesteren, E.-J., Bagheri, A., & Oberski, D. L. (2021). Achieving fair inference using error-prone outcomes.

 

Bright, J., Giachanou, A., Spaiser, V., Spezzano, F., George, A., & Pavliuc, A. (2021). Disinformation in open online media. Springer International Publishing.

 

Felix, S. E., Bagheri, A., Ramjankhan, F. R., Spruit, M. R., Oberski, D., De Jonge, N., Van Laake, L. W., Suyker, W. J., & Asselbergs, F. W. (2021). A data mining-based cross-industry process for predicting major bleeding in mechanical circulatory support. European Heart Journal-Digital Health, 2(4), 635–642.

 

Giachanou, A., Ghanem, B., & Rosso, P. (2021). Detection of conspiracy propagators using psycho-linguistic characteristics. Journal of Information Science, 0165551520985486.

 

Giachanou, A., Rosso, P., & Crestani, F. (2021). The impact of emotional signals on credibility assessment. Journal of the Association for Information Science and Technology, 72(9), 1117–1132.

 

Nguyen, H. T. T. (2021). Words Matter? Gender Disparities in Speeches, Evaluation and Competitive Performance (No. 789) [Tinbergen Instituut Research Series]. Erasmus University Rotterdam.

 

Nguyen, H., Vente, R., Lupea, D., Levitan, S. I., & Hirschberg, J. (2021). Acoustic-prosodic, lexical and demographic cues to persuasiveness in competitive debate speeches. Interspeech, 1034–1038.

 

Qi, Q., Hessen, D. J., Deoskar, T., & van der Heijden, P. G. M. (2021). A comparison of latent semantic analysis and correspondence analysis of document-term matrices. https://doi.org/10.48550/ARXIV.2108.06197

 

Rosso, P., Ghanem, B., & Giachanou, A. (2021). On the impact of emotions on the detection of false information. 2021 International Symposium on Electrical, Electronics and Information Engineering, 277–282.

 

Ruffo, G., Semeraro, A., Giachanou, A., & Rosso, P. (2021). Surveying the research on fake news in social media: A tale of networks and language. ArXiv Preprint ArXiv:2109.07909.

 

Sammani, A., Bagheri, A., van der Heijden, P. G., Te Riele, A. S., Baas, A. F., Oosters, C., Oberski, D., & Asselbergs, F. W. (2021). Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks. NPJ Digital Medicine, 4(1), 1–10.

 

Van Driel, I., Giachanou, A., Pouwels, J. L., Boeschoten, L., Beyens, I., Valkenburg, P. M., & others. (2021). Promises and pitfalls of Instagram data donations.

 

Yang, Z., Bagheri, A., & van der Heijden, P. (2021). Neural networks for latent budget analysis of compositional data. ArXiv Preprint ArXiv:2109.04875.

 

Afsharizadeh, M., EBRAHIMPOUR, K. H., & Bagheri, A. (2020). Automatic text summarization of COVID-19 research articles using recurrent neural networks and coreference resolution.

 

Bagheri, A., Groenhof, T. K. J., Veldhuis, W. B., de Jong, P. A., Asselbergs, F. W., & Oberski, D. L. (2020). Multimodal learning for cardiovascular risk prediction using EHR data. ArXiv Preprint ArXiv:2008.11979.

 

Bagheri, A., Sammani, A., van der Heijden, P. G., Asselbergs, F. W., & Oberski, D. L. (2020a). Automatic ICD-10 classification of diseases from dutch discharge letters. 13th International Joint Conference on Biomedical Engineering Systems and Technologies – BIOSTEC2020, 281–289.

 

Bagheri, A., Sammani, A., van der Heijden, P. G., Asselbergs, F. W., & Oberski, D. L. (2020b). ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history. Journal of Intelligent Information Systems, 55(2), 329–349.

 

Bevendorff, J., Ghanem, B., Giachanou, A., Kestemont, M., Manjavacas, E., Markov, I., Mayerl, M., Potthast, M., Rangel, F., Rosso, P., & others. (2020). Overview of PAN 2020: Authorship verification, celebrity profiling, profiling fake news spreaders on Twitter, and style change detection. International Conference of the Cross-Language Evaluation Forum for European Languages, 372–383.

 

Bevendorff, J., Ghanem, B., Giachanou, A., Kestemont, M., Manjavacas, E., Potthast, M., Rangel, F., Rosso, P., Specht, G., Stamatatos, E., & others. (2020). Shared tasks on authorship analysis at pan 2020. European Conference on Information Retrieval, 508–516.

 

Boeschoten, L., van Kesteren, E.-J., Bagheri, A., & Oberski, D. L. (2020). Fair inference on error-prone outcomes. ArXiv Preprint ArXiv:2003.07621.

 

De la Peña Sarracén, G. L., Rosso, P., & Giachanou, A. (2020). PRHLT-UPV at SemEval-2020 task 8: Study of multimodal techniques for memes analysis. Proceedings of the Fourteenth Workshop on Semantic Evaluation, 908–915.

 

Ferdinands, G., Schram, R., Bruin, J. de, Bagheri, A., Oberski, D. L., Tummers, L., Schoot, R. van de, & others. (2020). Active learning for screening prioritization in systematic reviews-A simulation study.

 

FOROOZANDEH, E., BAGHERI, A., & others. (2020). Line bisection test software to evaluate the visual-spatial functions in schizophrenic patients.

 

Giachanou, A., Ríssola, E. A., Ghanem, B., Crestani, F., & Rosso, P. (2020). The role of personality and linguistic patterns in discriminating between fake news spreaders and fact checkers. International Conference on Applications of Natural Language to Information Systems, 181–192.

 

Giachanou, A., & Rosso, P. (2020). The battle against online harmful information: The cases of fake news and hate speech. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 3503–3504.

 

Giachanou, A., Zhang, G., & Rosso, P. (2020a). Multimodal fake news detection with textual, visual and semantic information. International Conference on Text, Speech, and Dialogue, 30–38.

 

Giachanou, A., Zhang, G., & Rosso, P. (2020b). Multimodal multi-image fake news detection. 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), 647–654.

 

Rangel, F., Giachanou, A., Ghanem, B. H. H., & Rosso, P. (2020). Overview of the 8th author profiling task at pan 2020: Profiling fake news spreaders on twitter. CEUR Workshop Proceedings, 2696, 1–18.

 

Rangel, F., Rosso, P., Ghanem, B., & Giachanou, A. (2020). Profiling fake news spreaders on twitter. PAN at CLEF.

 

van Berkel, N., Papachristos, E., Giachanou, A., Hosio, S., & Skov, M. B. (2020). A systematic assessment of national artificial intelligence policies: Perspectives from the Nordics and beyond. Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, 1–12.

 

van de Leur, R. R., Boonstra, M. J., Bagheri, A., Roudijk, R. W., Sammani, A., Taha, K., Doevendans, P. A., van der Harst, P., van Dam, P. M., Hassink, R. J., & others. (2020). Big data and artificial intelligence: Opportunities and threats in electrophysiology. Arrhythmia & Electrophysiology Review, 9(3), 146.

 

Bagheri, A. (2019). Integrating word status for joint detection of sentiment and aspect in reviews. Journal of Information Science, 45(6), 736–755.

 

Bagheri, A., Oberski, D., Sammani, A., van der Heijden, P. G., & Asselbergs, F. W. (2019). SALTClass: Classifying clinical short notes using background knowledge from unlabeled data. BioRxiv : The Preprint Server for Biology, 801944.

 

Ghanem, B., Glavaš, G., Giachanou, A., Ponzetto, S. P., Rosso, P., & Rangel, F. (2019). UPV-UMA at CheckThat! Lab: Verifying Arabic claims using a cross lingual approach. CEUR Workshop Proceedings, 2380, 1–10.

 

Giachanou, A., & Ghanem, B. (2019). Bot and gender detection using textual and stylistic information. Pan. Studi Dell’istituto Di Filologia Latina, 16(5).

 

Giachanou, A., Gonzalo, J., & Crestani, F. (2019). Propagating sentiment signals for estimating reputation polarity. Information Processing & Management, 56(6), 102079.

 

Giachanou, A., Rosso, P., & Crestani, F. (2019). Leveraging emotional signals for credibility detection. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 877–880.

 

Métais, E., Meziane, F., Sararee, M., Sugumaran, V., & Vadera, S. (2019). Natural language processing and information systems. Springer International Publishing.

 

Sammani, A., Jansen, M., Linschoten, M., Bagheri, A., de Jonge, N., Kirkels, H., van Laake, L., Vink, A., van Tintelen, J., Dooijes, D., & others. (2019). UNRAVEL: big data analytics research data platform to improve care of patients with cardiomyopathies using routine electronic health records and standardised biobanking. Netherlands Heart Journal, 27(9), 426–434.

 

Sedighi, Z., Ebrahimpoor-Komleh, H., Bagheri, A., & Kosseim, L. (2019). Opinion spam detection with attention-based neural networks. The Thirty-Second International Flairs Conference.

 

Afsharizadeh, M., Ebrahimpour-Komleh, H., & Bagheri, A. (2018). Query-oriented text summarization using sentence extraction technique. 2018 4th International Conference on Web Research (ICWR).

 

Asgarnezhad, R., Monadjemi, S. A., Soltanaghaei, M., & Bagheri, A. (2018). SFT: A model for sentiment classification using supervised methods on twitter. Journal of Theoretical & Applied Information Technology, 96(8).

 

Bagheri, A., & Nadi, S. (2018). Sentiment miner: A novel unsupervised framework for aspect detection from customer reviews.

 

Fuhr, N., Giachanou, A., Grefenstette, G., Gurevych, I., Hanselowski, A., Jarvelin, K., Jones, R., Liu, Y., Mothe, J., Nejdl, W., & others. (2018). An information nutritional label for online documents. ACM SIGIR Forum, 51, Article 3.

 

Giachanou, A. (2018). Tracking public opinion on social media. Università della Svizzera italiana.

 

Giachanou, A., Rosso, P., Mele, I., & Crestani, F. (2018a). Early commenting features for emotional reactions prediction. International Symposium on String Processing and Information Retrieval, 168–182.

 

Giachanou, A., Rosso, P., Mele, I., & Crestani, F. (2018b). Emotional influence prediction of news posts. Twelfth International AAAI Conference on Web and Social Media.

 

Giachanou, A., Rosso, P., Mele, I., & Crestani, F. (2018c). Emotional reactions prediction of news posts. IIR.

 

Lomi, A., Giachanou, A., Crestani, F., & Angelopoulos, S. (2018). Table for two: Explaining variations in the evaluation of authenticity by restaurant critics.

 

Ríssola, E., Giachanou, A., & Crestani, F. (2018). USI-IR at IEST 2018: Sequence modeling and pseudo-relevance feedback for implicit emotion detection. Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 231–234.

 

Dewi Varathan, K., Giachanou, A., & Crestani, F. (2017). Comparative opinion mining: A review. ArXiv E-Prints, arXiv-1712.

 

Giachanou, A., Gonzalo, J., Mele, I., & Crestani, F. (2017). Sentiment propagation for predicting reputation polarity. European Conference on Information Retrieval, 226–238.

 

Giachanou, A., Mele, I., & Crestani, F. (2017a). A collection for detecting triggers of sentiment spikes. Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 1249–1252.

 

Giachanou, A., Mele, I., & Crestani, F. (2017b). USI participation at SMERP 2017 text retrieval task. Proceedings of Exploitation of Social Media for Emergency Relief and Preparedness (SMERP) Workshop (Data Challenge Track).

 

Giachanou, A., Mele, I., & Crestani, F. (2017c). USI participation at SMERP 2017 text summarization task. Proceedings of Exploitation of Social Media for Emergency Relief and Preparedness (SMERP) Workshop (Data Challenge Track).

 

Giachanou, A., Rangel, F., Crestani, F., & Rosso, P. (2017). Emerging sentiment language model for emotion detection. Italian Conference on Computational Linguistics.

 

Jabalameli, A., Mehdi, V. S., & Bagheri, A. (2017). A centralized crawler for web community detection. 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI-2017), 4.

 

Madjidi, E., & Bagheri, A. (2017). Providing a method for classifying users’ comments using machine learning and voting algorithm. 1st International Conference on Modern Technologies in Sciences, 1.

 

Maleki, M. J., & Bagheri, A. (2017). Multi-word effect on analysis of online reviews sentiments. 3rd International Conference on Pattern Recognition & Image Analysis, Shahrekord, Iran.

 

Sedighi, Z., Ebrahimpour-Komleh, H., & Bagheri, A. (2017). RLOSD: Representation learning based on OpinionSpam detection. 11th International Conference on Computer Science and Information Technologies, 1–7.

 

Varathan, K. D., Giachanou, A., & Crestani, F. (2017). Comparative opinion mining: A review. Journal of the Association for Information Science and Technology, 68(4), 811–829.

 

Giachanou, A., & Crestani, F. (2016a). Like it or not: A survey of twitter sentiment analysis methods. ACM Computing Surveys (CSUR), 49(2), 1–41.

 

Giachanou, A., & Crestani, F. (2016b). Opinion retrieval in Twitter: Is proximity effective? ACM Symposium on Applied Computing.

 

Giachanou, A., & Crestani, F. (2016c). Opinion retrieval in Twitter using stylistic variations. ACM Symposium on Applied Computing.

 

Giachanou, A., & Crestani, F. (2016d). Tracking sentiment by time series analysis. Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, 1037–1040.

 

Giachanou, A., Harvey, M., & Crestani, F. (2016). Topic-specific stylistic variations for opinion retrieval on twitter. European Conference on Information Retrieval, 466–478.

 

Giachanou, A., Mele, I., & Crestani, F. (2016). Explaining sentiment spikes in twitter. 25th ACM International on Conference on Information and Knowledge Management.

 

Lomi, A., Giachanou, A., Crestani, F., & Angelopoulos, S. (2016). Table for two: The effects of relational and categorical organizational identities on restaurants reviews. 36th Sunbelt Conference (INSNA).

 

Varathan, K. D., Giachanou, A., & Crestani, F. (2016). Temporal analysis of comparative opinion mining. International Conference on Asian Digital Libraries, 311–322.

 

Varathan, K. D., Giachanou, A., Crestani, F., Belém, F. M., Almeida, J. M., Gonçalves, M. A., Finnemann, N. O., Cai, F., Wang, S., de Rijke, M., & others. (2016). JASIST. Evaluation, 884.

 

Zaghian, A., & Bagheri, A. (2016). A combined model of clustering and classification methods for preserving privacy in social networks against inference and neighborhood attacks. International Journal of Security and Its Applications, 10(1), 95–110.

 

Aliannejadi, M., Bahrainian, S. A., Giachanou, A., & Crestani, F. (2015). University of lugano at TREC 2015: Contextual suggestion and temporal summarization tracks. Twenty-Fourth Text REtrieval Conference (TREC 2015).

 

Giachanou, A., Salampasis, M., & Paltoglou, G. (2015). Multilayer source selection as a tool for supporting patent search and classification. Information Retrieval Journal, 18(6), 559–585.

 

Bagheri, A., & Saraee, M. (2014). Persian sentiment analyzer: A framework based on a novel feature selection method. International Journal of Artificial Intelligence, ArXiv Preprint ArXiv:1412.8079.

 

Bagheri, A., Saraee, M., & De Jong, F. (2014). ADM-LDA: An aspect detection model based on topic modelling using the structure of review sentences. Journal of Information Science, 40(5), 621–636.

 

Bagheri, A., Saraee, M., & Nadi, S. (2014). PSA: a hybrid feature selection approach for Persian text classification. Journal of Computing and Security, 1(4), 261–272.

 

Giachanou, A., Markov, I., & Crestani, F. (2014). Opinions in federated search: University of lugano at TREC 2014 federated web search track. Twenty-Third Text REtrieval Conference (TREC 2014).

 

Giachanou, A., & Salampasis, M. (2014). IPC selection using collection selection algorithms. Information Retrieval Facility Conference, 41–52.

 

Giachanou, A., Salampasis, M., Satratzemi, M., & Samaras, N. (2014). A user-centered evaluation of a web based patent classification tool. MindTheGap@ IConference, 6–11.

 

Paltoglou, G., & Giachanou, A. (2014). Opinion retrieval: Searching for opinions in social media. In Professional search in the modern world (pp. 193–214). Springer, Cham.

 

Salampasis, M., Giachanou, A., & Hanbury, A. (2014). An evaluation of an interactive federated patent search system. Information Retrieval Facility Conference, 120–131.

 

Salampasis, M., Paltoglou, G., & Giachanou, A. (2014). Using social media for continuous monitoring and mining of consumer behaviour. 11(1), 85–96.

 

Bagheri, A., Saraee, M., & De Jong, F. (2013). Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews. Knowledge-Based Systems, 52, 201–213.

 

Bagheri, A., Saraee, M., De Jong, F., & others. (2013). Latent Dirichlet Markov allocation for sentiment analysis.

 

Bagheri, A., Saraee, M., & Jong, F. de. (2013). An unsupervised aspect detection model for sentiment analysis of reviews. International Conference on Application of Natural Language to Information Systems, 140–151.

 

Giachanou, A., Salampasis, M., & Paltoglou, G. (2013). Multilayer collection selection and search of topically organized patents. In Proceedings of the Integrating IR Technologies for Professional Search (in Conjuction with ECIR 2013).

 

Giachanou, A., Salampasis, M., Satratzemi, M., & Samaras, N. (2013). Report on the CLEF-IP 2013 experiments: Multilayer collection selection on topically organized patents. CLEF 2013 Conference and Labs of the Evaluation Forum (Online Working Notes/Labs/Workshop).

 

Saraee, M., & Bagheri, A. (2013). Feature selection methods in Persian sentiment analysis. International Conference on Application of Natural Language to Information Systems, 303–308.

 

Salampasis, M., Paltoglou, G., & Giachanou, A. (2012). Report on the CLEF-IP 2012 experiments: Search of topically organized patents. CLEF (Online Working Notes/Labs/Workshop).

 

Salampasis, M., Paltoglou, G., & Giachanou, A. (2011). Using social media for continuous monitoring and mining of consumer behaviour. 5th International Conference on Information and Communication Technologies in Agriculture, Food and Environment.

 

Bagheri, A., & Giachanou, A. (n.d.). Sentiment analysis.

 

Sedighi, Z., Ebrahimpour-Komleh, H., Bagheri, A., & Kosseim, L. (n.d.). Opinion spam detection with attention-based LSTM networks.