I am exploring the method and code to construct the Bayesian network for information retrieval using a data-driven approach. I do find very old papers where the dataset or code are not available. I am new and exploring this field. Please, if anyone can provide the code link or suggestion of latest papers that can help to give the implementation touch for Bayesian network construction.
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Rohit129
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Can you expand on the sources you've already explored? (e.g. [Chapter 11 on Probabilistic Information Retrieval](https://nlp.stanford.edu/IR-book/html/htmledition/probabilistic-information-retrieval-1.html) from the [Intro Information Retrieval](https://nlp.stanford.edu/IR-book/information-retrieval-book.html) book?) – Alexander L. Hayes Nov 25 '20 at 14:07
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@AlexanderL.Hayes I do have read some research paper on it such as [Evaluation of an Inference Network-Based Retrieval Model](https://dl.acm.org/doi/pdf/10.1145/125187.125188), [Inference Networks for Document Retrieval](https://dl.acm.org/doi/pdf/10.1145/96749.98006), and [Building Bayesian network-based information retrieval systems](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=875079). All these do not provide any opensource code to start with. Any help is appreciable. – Rohit129 Nov 28 '20 at 13:19
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It was pretty uncommon to release research code in the 1990s (it's rare now, but it was rare then too). – Alexander L. Hayes Nov 28 '20 at 13:47
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A good place to start could be with Naive Bayes on data sets for document classification or retrieval tasks (e.g. [BBC](http://mlg.ucd.ie/datasets/bbc.html)). If you want to look more into structure in networks, [`bnlearn`](https://www.bnlearn.com/) or [`pomegranate`](https://pomegranate.readthedocs.io/en/latest/) aim at more general learning/inference. – Alexander L. Hayes Nov 28 '20 at 13:50