The quantification of text - Supervised learning methods - The application of textual sentiment indicators to the UK CRE market

Heinig, Steffen; Lang, Marcel; Schaefers, Wolfgang; Alexander, Marian; Dietzel, Karim Rochdi

doi:10.15396/eres2017_109

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“…Sebastiani (2014) defined quantification as the prevalence or "relative frequency" of unlabelled data in textual documents. Different approaches in this area have been analysed in previous works such as real state (Heinig, 2017), psychology (Kumar et al, 2015), and education (Likens et al, 2018), showing examples that quantification strategy is transversal to various disciplines.…”

Section: Quantification Of Textsmentioning

confidence: 99%

Quantification strategy in social media: Opinion analysis and indicators development in different contexts

Riquelme¹,

N²

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I would like to thank all my friends and doctoral colleagues of the UPM-Industriales, for your support, accompaniment, collaboration, the adventures that we shared and camaraderie, with special mention to Dr. Xiaochen Zheng, an inspiring scholar and a brother, Dr. Ermal Hetemi, an extraordinary companion and a true friend, Dr. Gong Bing, a friend and a brilliant scholar. Thanks to my Batán gang, Dr. Shengjing Sun, a noble and bright person and my dear Dr. Ebru Susur, for always been there, pushing and helping me to persevere in my path. A special mention to Jacob Salomonsson, Juliana Krieger, and Dr. Ilaria Di Sanctis (and Jorge) for your sincere friendship, the good moments, and your support since we met in Joaquin´s lab. You all guys are my Madrid family.I would like to recognise the support and friendship of the EDIM community, in especial to Dr. Isaac Lemus-Aguilar for always been supportive and thank you for paving the way to new lines of research, your recommendations and your wise advice. Dr. Hossein Zarei, thank you for your valuable suggestions and your unconditional help. Thanks, Dr. Roya Derakhshanalavijeh, Dr. Frano Barbic, and Dr. Claudia Manca, for your sincere friendship and support.In addition, I am also grateful to Fátima and Tia Ninfa González for your support before and during my stay in Madrid. Your welcoming and kindness were decisive in my first months in Spain.Words cannot convey all my appreciation and sincere thankfulness to those people who supported me during my academic stay around Europe, with special mention to Antonia Starck, a marvellous person for her dedicated support in Berlin and the family Trappolini-Dávalos in Rome. Sofia, you have been like my second mother during the lockdown period, thanks for your prayers and generosity, and my lasting gratitude to you, to Carlo and your lovely daughters Maria Grazia and Giulia.iii Special gratitude goes to my family for your understanding and unconditional love. You all were my motivation to continue and persist in finishing my doctoral study, and this achievement is to you. In particular, to my mother Miriam Elizabeth, for your prayers and endless support. To my father, José Nicanor, thank you for your prayers and for nurturing my interest in books and science: you exemplify the model of a person that I want to be. To my wonderful siblings Montserrat, Clara, Bely, David and Guido, thank you for your true love and support always.Last but not least, I want to thank my beloved wife and friend, Vanessa, for being always by my side and supporting me through its end. I have for her only love, eternal gratitude, and infinite tenderness.Finally, I want to thank God for his blessing and for having accompanied us and allowed us to live this unforgettable experience.

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Section: Quantification Of Textsmentioning

confidence: 99%

Quantification strategy in social media: Opinion analysis and indicators development in different contexts

Riquelme¹,

N²

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The quantification of text - Supervised learning methods - The application of textual sentiment indicators to the UK CRE market

Cited by 1 publication

References 0 publications

Quantification strategy in social media: Opinion analysis and indicators development in different contexts

Quantification strategy in social media: Opinion analysis and indicators development in different contexts

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