This is the third (and the final) part of a series of articles devoted to NLP applications in legal and forensic discourses. In this article, we are going to discuss the results of our previous experimentations. Results At first, we analyzed a group of deceptive reviews which consisted of the Ott Deceptive Opinion Spam Corpus and the cross-domain corpus of reviews for hotels, restaurants, and doctors curated by Li et al. Our aim was to confirm that the use of non-essential wo

This is the second part of a series of articles devoted to NLP applications in legal and forensic discourses. In this article, we are going to analyze the related works and discuss the proposed approach. Related Work The idea of employing machine learning and deep learning methods to identify dubious activities in social networks has garnered general attention. For instance, Bindu et al. introduced an unsupervised learning method that can automatically spot unusual users in a

This is the first part of a series of articles devoted to NLP applications in legal and forensic discourses. In this article, we are going to introduce the topic and summarize our contributions. We will deep-dive into the related works and the implementation in further posts. Digital forensic investigations are becoming increasingly crucial in criminal investigations and civil litigations, especially in cases of corporate espionage and intellectual property theft as more comm

This blog post offers a comprehensive guide to efficiently downloading tagged images from Azure Custom Vision using Microsoft’s RESTful API. It walks readers through the process of authenticating with training keys, retrieving project tags, and automating bulk image downloads - overcoming the platform’s lack of a built-in export feature. Ideal for machine learning practitioners seeking reliable methods to audit, migrate, or back up their valuable training data.