Presentation by Data Science Project Fellows at Combient Competence Cen. for Data Eng. Sci., Uppsala
Channel: Raazesh Sainudiin
Date: 2021-12-10

Preliminary Presentation by Data Science Project Fellows 2021-2022 cohort
at Combient Competence Centre for Data Engineering Sciences, Department of Mathematics, Uppsala University, Uppsala & Combient Mix AB, Stockholm, Sweden

1. GDELT: Brief description of GDELT including the datasets that we are working with (gkg, events, mentions) and the taxonomy of CAMEO for actions. Also, the results of some experiments on data related to Sweden.

2. Sentiment Analysis: A way of mining emotions from Tweets (or any texts) using sentiment lexicons.

3. Bivariate TrendCalculus and Causal Inference with Pathogen: Identifying long term trends on financial time series of historical data. Marking events as consecutive reversals of the same order and predicting correlations between two time series. The latter is achieved by utilizing the Pathogen library, aiming to establish causal inference on bivariate time series. 

4. LockInFREE: A Lockin-Free Research Enablement Environment that is trans-notebook/IDE/clouds.

These are some open explorations for eMthrIX = Money Markets and Media Intelligence at Combient Mix.

References to some open-source codes under development:

https://github.com/lamastex/mep
https://github.com/lamastex/spark-gdelt
https://github.com/lamastex/pathogen
https://github.com/lamastex/CoSENSE