Proceedings of the 8th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) 2014
DOI: 10.3115/v1/w14-0613
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Developing a Tagalog Linguistic Inquiry and Word Count (LIWC) ‘Disaster’ Dictionary for Understanding Mixed Language Social Media: A Work-in-Progress Paper

Abstract: In the wake of super typhoon Yolanda (known internationally as Haiyan) in the Philippines in 2013, many individuals in the Philippines turned to social media to express their thoughts and emotions in a variety of languages. In order to understand and analyze the sentiment of populations on the ground, we used a novel approach of developing a conceptual Linguistic Inquiry and Word Count (LIWC) dictionary comprised of Tagalog words relating to disaster. This work-in-progress paper documents our process of filter… Show more

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Cited by 3 publications
(2 citation statements)
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“…The heart of LAXARY framework is the construction of PTSD Linguistic Dictionary. Prior works show that linguistic dictionary based text analysis has been much effective in twitter based sentiment analysis [21], [27]. Our work is the first of its kind that develops its own linguistic dictionary to explain automatic PTSD assessment to confirm trustworthiness to clinicians.…”
Section: Laxary: Explainable Ptsd Detection Modelmentioning
confidence: 91%
“…The heart of LAXARY framework is the construction of PTSD Linguistic Dictionary. Prior works show that linguistic dictionary based text analysis has been much effective in twitter based sentiment analysis [21], [27]. Our work is the first of its kind that develops its own linguistic dictionary to explain automatic PTSD assessment to confirm trustworthiness to clinicians.…”
Section: Laxary: Explainable Ptsd Detection Modelmentioning
confidence: 91%
“…It is a bipartite graph consisting of user nodes, page nodes and edit events as interactions. We convert the text of each editing into a edge feature vector representing their LIWC categories [2].…”
Section: Experiments 41 Datasetsmentioning
confidence: 99%