Recurrence Quantification Analysis in Julia
Taking a look at data of 1.6 million twitter users and drawing useful insights while exploring interesting patterns visualized with concise plots. The techniques used include text mining, sentimental analysis, probability, time series analysis and Hierarchical clustering on text/words using R.
Code for "Nonlinear, Natural, and Noisy: A Quantitative Approach to the Collection and Analysis of Real-World Social Behavior" (Chiovaro & Paxton, under review).
Code "Beyond consistency: Contextual dependency of language style in monologue and conversation" (Müller-Frommeyer, Kauffeld and Paxton, 2020, Cognitive Science)
Python Flask tool to automatically synchronize matching video and audio files.
Recurrence quantification analysis for Mathematica
B(eo)W(u)LF: Facilitating recurrence analysis on multi-level language
For doing multidimensional recurrent quantification analysis(MdRQA) and sliding window version of it
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