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Name: Julia Proskurnia
Type: User
Company: EPFL
Location: Lausanne, Switzerland
Blog: juliapro.xyz/blog
Name: Julia Proskurnia
Type: User
Company: EPFL
Location: Lausanne, Switzerland
Blog: juliapro.xyz/blog
This dataset consists of annotated climate change and animal welfare public campaigns on Twitter represented by a hashtag. These campaigns are annotated by two main types: initial goal (awareness and mobilization) and user engagement over time (one-day, regular, successful, multi-burst, inactive).
Natural language text processing with MR framework with stanford parser, concept extraction and relation (arguments) extraction.
Petitions dataset is a set of environmental petition URLs extracted from the tweets of the major environmental public campaigns on Twitter (Jan - Apr 2015). Here we present both (1) petition annotation by its number of collected and required signatures and (2) tweets ids that contain petition URLs.
Short paper on petition analysis in environmental campaigns
This repository aggregates some code and anonymized tweets dataset used for the topical filtering of short texts. More details can be found in the CIKM'17 paper "Efficient Document Filtering Using Vector Space Topic Expansion and Pattern-Mining: The Case of Event Detection in Microposts".
Personal homepage.
"Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series" WWW'17, Perth, Australia
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