Added a changelog file to keep track of major changes between versions.

CHANGELOG.md

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+# Changelog
+
+## 0.3.3
+
+* Improved the Hypergraph-of-Entity by switching `Document` hyperedges to undirected, adding node and hyperedge weights and introducing a new pruning approach.
+  * Pruning required the deletion of directed hyperedges, which was not supported by the `Grph` library. This was forked and implemented. We now use our own custom version of [Grph](https://github.com/jldevezas/Grph).
+
+* Implemented a Biased Random Walk Score, using node and hyperedge weights to randomly traverse the hypergraph.
+  * Also improved random sampling efficiency and implemented a new non-uniform random sampler.
+
+* Introduced the `analysis` module, with a new Random Walk stability test based on Kendall's coefficient of concordance W.
+
+* Created an Hypergraph-of-Entity inspection method to export node and hyperedge weights to CSV for external analysis.
+
+* Improved the R graph analysis utility for studying the discriminative power of node and hyperedge weights, based on the exported CSVs from `inspect`.
+  * Also added a script to explore functions in order to build node and hyperedge weighting functions. This will also be helpful to build ranking functions later on.
+
+* The reachability index has been disabled.
+  * The `entityWeight` has mostly been deprecated (it does not scale) and doing this will save memory.
+
+* Created a partial port of the Hypergraph-of-Entity in C++ and integrated it with the Python tool using Boost Python to create a C++ Python library.
+  * The C++ implementation has already been deprecated and serves as an integration example.
+
+* Added overall configurations for the selection of ranking function.
+
+* Fixed several issues with the Dockerfile and automated Docker Hub builds.
+
+* Fixed MongoDB issues with the storage of keys with a period.