Hits 1.441 – 1.455 of 1.455
1441 |
Applications of computational verbs to effective and realtime image understanding
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In: http://www.yangsky.com/ijcc/pdf/ijcc416.pdf
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1443 |
Multilingual event detection using the NewsReader pipelines
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1444 |
Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions
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1445 |
An adaptable lexical simplification architecture for major ibero-romance languages
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1446 |
Automatic Extraction of Polar Adjectives for the Creation of Polarity Lexicons
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1447 |
Automatic Detection of Non-deverbal Event Nouns for Quick Lexicon Production
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1448 |
Detecció de la relació malaltia-símptoma entre termes de l'àmbit mèdic: una aproximació basada en corpus
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1449 |
Early detection of eating disorders in reddit
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Abstract:
Treball fi de màster de: Master in Intelligent Interactive Systems ; Tutors: Ana Freire, Diana Ramírez-Cifuentes ; This thesis proposes an approach for the early detection of Anorexia Nervosa (AN) on social media. Our method is based on machine learning techniques using the processed texts written by social media users. This method relies on a set of features based on domain-specific vocabulary, topic modelling, psychological processes and linguistic information extracted from the users’ writings. Moreover, other features are studied in order to exploit all the dataset resources. Additionally, we have compared some of the most known learning algorithms and we have introduced a minimum amount of information threshold to avoid some false positive predictions. This approach penalises the delay in the detection of positive cases in order to classify the users at risk as early as possible. By the early identification of anorexia, along with an appropriate treatment, the speed of recovery and the likelihood of staying free of the illness improves. The results of this thesis showed that our proposal is suitable for the early detection of AN symptoms in social media. Further research in this topic is needed to solve the problems stated in this project.
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Keyword:
Anorexia; Early risk detection; Eating disorders; Machine learning; Mitjans de comunicació social; Social media; Trastorns de la conducta alimentària
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URL: http://hdl.handle.net/10230/35695
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1450 |
Detection and correction of linguistic errors: results according to linguistic preferences and uses
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1452 |
UPF’s participation at the CLEF eRisk 2018: early risk prediction on the Internet
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1453 |
Uma utilidade para o reconhecimento de topónimos em documentos medievais ; A tool for toponym recognition in medieval documents
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1454 |
Face-like configurations modulate electrophysiological mismatch responses
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1455 |
Cómo detectar un trastorno específico del lenguaje en el aula
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